Python Text-To-Speech program. Cross platform Kivy runs on Linux, Windows, OS X, Android, iOS, and Raspberry Pi. I made a small text adventure. If you are interested specifically and only in speak, you might be interested in my Python text-to-speech with espeak tutorial. Tiny Tkinter Calculator (Python) A ticker for long messages (Python/Tkinter) Updated Tiny Tkinter Calculator (Python) Mouse position Tkinter; Adding to a mysql database using tkinter with python; textArea text formatting; Text to Speech in Python; Help with text-based game in Python; Assigning tags to text in Tkinter; TKInter and Python 3. On Python 3, that library’s functionality is built into the Python standard library, which makes it unnecessary. How to convert text to speech in python 3. mypy; Annotate a variable (including a function argument) and a function return value. NET libraries to convert text to speech and optionally play. Let’s see how to do it. In this article we’ll use a Python 3 to do the conversion. Prerequisites. This tutorial covers a very basic text-to-speech (TTS) example. Already using Text to Speech?. Although it does skip the preamble, I would argue that this statement is false - it definitely does not skip the pedagogy. News about the dynamic, interpreted, interactive, object-oriented, extensible programming language Python. Tokenizing Raw Text in Python. Speech To Text. (Changelog)TextBlob is a Python (2 and 3) library for processing textual data. Python Text Processing with NLTK 2. Either Python 2 or 3. six - Python 2 and 3 compatibility utilities. ในการใช้งาน Speech recognition ด้วย Google Speech Recognition API ใน Python ต้องใช้โมดูล SpeechRecognition (BSD license) รองรับทั้ง Python 2 , Python 3 ครับ และรองรับทั้ง Linux , Mac OS , Windows ครับ. x windows audio or ask your own question. x as well: Regular Expression for Advanced Users in Python 2. Python Speech recognition forms an integral part of Artificial Intelligence. Lets check all the pos tags of our document. The TTS engine we are using in this tutorial is eSpeak. Text-to-Speech (TTS) enables developers to synthesize natural-sounding speech with many voices, available in multiple languages and variants. Pyttsx3 is an offline cross-platform Test-to-Speech library which is compatible with both Python 3 and Python 2 and supports multiple TTS engines. Below is the example how it can be used. The task is relatively easy, if you have Windows on your machine. Parts required:-Raspberry Pi with internet connection (internet just for setup)-Sp. Speed matters. there is almost never a way to successfully execute a piece of code containing syntax errors. Download Speech-To-Text Fast and for Free. We can make the computer speak with Python. (Changelog)TextBlob is a Python (2 and 3) library for processing textual data. Next up, we're going to discuss something a bit more advanced from the NLTK module, Part of Speech tagging, where we can use the NLTK module to identify the parts of speech for each word in a sentence. Welcome to Python 3: E-learning Text-to-Speech Alphabet application! This is a comprehensive and concise guide with amazing content that is designed to pick up every interested student from the state of "zero-knowledge" to a state of "Hero-knowledge" in development of text-to-speech application. Option 1: AIY Projects App. Natural Language Processing Basics/13. eSpeak is available as: A command line program (Linux and Windows) to speak text from a file or from stdin. Python pattern for natural language processing. I've written a python script which generates all passwords for a router, and I've left it on to write to a text file to create a wordlist and after >10 minutes its all ready 11gb, so im guessing its gonna be huge. Python is a dynamic language, used for a wide variety of purposes, with an emphasis on clean and expressive code. Using it can reduce the amount of OS-specific code you need to write for the task of speech synthesis from your programs. py or pyspeech and is available here on Google Code. Python is ideal for text classification, because of it's strong string class with powerful methods. We asked genuine ladies and a number of professionals the small things the majority of women need certainly to bring them on the side. Release Date: Sept. ° Provides practical pointers and tips that emphasize efficient, flexible, and maintainable approaches to text-processing challenges. By using techniques such as escape characters or raw strings, we are able to ensure that the strings of our program are rendered correctly on-screen so that the end user is able to easily read all of the output text. C C++ C++14 C# Java Perl PHP Python Python 3 Scala Report Bug × Keyboard shortcuts for editor. It can be useful for converting text to speech on the fly or to audio files to listen on your portable audio player. Then run the following script to check installation. Download Text-To-Speech Torrent at TorrentFunk. Also, don’t forget to call the runAndWait method in the end of each iteration, so the voice is synthesized. sourceforge. Unlike alternative libraries, it works offline, and is compatible with both Python 2 and 3. client import pythoncom """Sample code for using the Microsoft Speech SDK 5. If you are on Mac OS X, then install Python using Homebrew. There are several APIs available to convert text to speech in python. Please try again later. SpeechRecognition is a library that helps in performing speech recognition in python. Python 3 This is a tutorial in Python3, but this chapter of our course is available in a version for Python 2. Artificial Intelligence Projects With Source Code In Python Github. listen_for() and winspeech. You can read about introduction to NLTK in this article: Introduction to NLP & NLTK The main goal of stemming and lemmatization is to convert related words to a common base/root word. There is a range of packages out there which vary in scope, complexity and maturity. 9+ (required. To honor this tradition, the Dutch embassy in San Francisco invited me to give a "TED talk" to an audience of Dutch and American entrepreneurs. Now you can download corpora, tokenize, tag, and count POS tags in Python. Speech Recognition is a Control Panel application for configuring the feature, while the Windows Speech Recognition is the stay-resident application that runs after the Surface setup is complete. These tokens could be paragraphs, sentences, or individual words. x as well: Regular Expression for Advanced Users in Python 2. You can convert MP3 directly to WAV in Python. pyttsx is a cross-platform text to speech library which is platform independent. How to get speech output from entered text by using command-line? Also facility to change speech rate, pitch, volume etc using simple command. TextBlob: Simplified Text Processing¶. Welcome to the LearnPython. Python is a programming language supports several programming paradigms including Object-Orientated Programming (OOP) and functional programming. split() Parameters. Introduction to Generative Adversarial Networks (GANs) Implementing GAN & DCGAN with Python. The audio format supported for batch transcription includes 8 or 16 kHz mono or stereo for wav, mp3 and ogg formats. GUI The user interface is developed using tkinter components. x windows audio or ask your own question. pyttsx - Text-to-speech x-platform¶ This documentation describes the pyttsx Python package v 1. Use features like bookmarks, note taking and highlighting while reading Python 3 Text Processing with NLTK 3 Cookbook. 0 won't be like Python 3. Code to follow along is on Github. The attached Python code shows you how to do this. More Speech-to-text available on the site. If using the Jython implementation of Python on the JVM, the FreeTTS system may be usable. Finally, OSX and Windows have native APIs for text to speech. And then the problem with text-to-speech is just a problem of finding the right pieces of speech to reconstruct what you want to say. It was a dream come true when I made my first Watbot commit to Github. Our Flask app here only used the TwiML verb to read a message to the caller using text to speech, but you can do much more with different TwiML verbs like , , and. Learn Applied Text Mining in Python from University of Michigan. Prior knowledge: Completion of D-Lab's Python for Everything Series. Import CSV files. Python Machine Learning Solutions Learn How to Perform Various Machine Learning Tasks in the Real World. This process is called Text To Speech (TTS). Step 3: Convert text into keywords. voiceEngine. Unlike alternative libraries, it works offline, and is compatible with both Python 2 and 3. Contribute to westparkcom/Python-Bing-TTS development by creating an account on GitHub. OpenCV's EAST text detector is a deep learning model, based on a novel architecture and training pattern. [Jacob Perkins; Faiz Fattohi] -- This book is intended for Python programmers interested in learning how to do natural language processing. 5" Distribute Distribute is a package that replaces Easy_install. Azure Portalにログインして、リソースの作成から「音声」を検索し作成してください。. client import pythoncom """Sample code for using the Microsoft Speech SDK 5. Text-to-Speech Tutorial. Write some Python to convert text-to-speech with the Text-to-speech API; Create a Flask route to call your Python code; Update the HTML with a button to convert text-to-speech, and an element for audio playback; Write Javascript that allows users to interact with your Flask app; Call the Text-to-Speech API. AzureのCognitiveServicesを用いて、テキストから音声変換をやってみました。 はじめに. This feature is not available right now. Ask Question Asked 2 years, 4 months ago. foucault vincent. This is the eighth article in my series of articles on Python for NLP. But, our Python scripts will be also compatible with Windows 10 and Mac OS X which can run Python 3. gTTS gTTS เป็นโมดูลที่ดึง Google TTS (Text-to-Speech) API เข้ามาใช้งาน โดยจะสร้างไฟล์เสียงสังเคราะห์ขึ้นมาในรูปแบบ mp3 ไม่จำกัดความยาว รองรับภาษาต่าง ๆ รวมถึงภาษาไทย. A guide to tools, corpora, and other resources related to Japanese text analysis and natural language processing, with a focus on the digital humanities. To make the Raspberry Pi speak and read some text aloud, we need a software interface to convert text to speech on the speakers. It support for several engines and APIs, online and offline e. Python provides many modules to extract text from PDF. I use python 3. Learn Python Programming This site contains materials and exercises for the Python 3 programming language. Python 3 Text Processing with NLTK 3 Cookbook - Kindle edition by Jacob Perkins. Broadcasting text to speech with Python ### Background ### As a busy father there are times during the day when I can not be glued to the computer, but am free to listen to something on headphones (ie doing dishes, cleaning the garage etc). Moreover, we saw reading a segment and dealing with noise in Speech Recognition Python tutorial. If you like the book, please review it at Amazon or goodreads. The Bing Text to Speech Python Sample Code by Bing presents developers how to interact with the API. Build powerful models from scratch, or speed time-to-value with pre-built enterprise apps. The world is filled with coders, who write pieces of programs in a bid to find solutions to various problems. The variable name is used to reference that stored value within a computer program. INTRODUCTION TO SPEECH SYNTHESYS:- • What is speech synthesis? - Computer technology that 'constructs' human speech from electronic circuits to replace pre-recorded human voice. It may be possible to use the python bindings to control the desktop libraries for text to speech. As explained on wikipedia, tokenization is “the process of breaking a stream of text up into words, phrases, symbols, or other meaningful elements called tokens. 使用python和IBM speech to text 进行 语音识别 03-08 阅读数 3346 目录视图摘要视图订阅CSDN日报20170303——《百亿互金平台救火故事》 程序员2月书讯 社区有奖问答--一起舞动酷炫的iOS动画 基于Spark的分布式深度学习和认知计. Build powerful models from scratch, or speed time-to-value with pre-built enterprise apps. How to Build a Text to Speech IOT Speaker : MotivationThis project is about building a remote controlled speaker that has text to speech ability. Lets check all the pos tags of our document. >>> colors = ['blue','red','green']. txt is the dictionary, and idtext. For a more in-depth explanation, see this guide on sharing your labor of love. It illustrates how to synthesize speech from text and play it with the default audio output. Major new features in the 3. Part-of-speech tagging also known as word classes or lexical categories. Now you can download corpora, tokenize, tag, and count POS tags in Python. Ask Question Asked 2 years, 4 months ago. pythonで接続その1(音声ファイルアップロード) 3. • What is the task? -Generating natural sounding speech on the fly, usually from text. The first step is to install the goslate module. The objects we create will include unit tests and iterables. At the end of the tutorial, you'll be able to understand the intents of your users and give them the information they are searching for, taking advantage of the Google AI. We will use Python 3. Then run the following script to check installation. Python is a computer programming language that lets you work more quickly than other programming languages. It supports espeak, but also supports native Windows and Mac speech APIs. py in the same folder. Static type checking. 3+ (required) * PyAudio 0. 6 pyttsx, gtts and espeak are not working with Python 3. Let’s follow this simple tutorial to implement the same. 3 you can specify how long a socket should wait for a response before timing out. voiceEngine. Download as MP3 or listen to it. I don't know where to start. This often has the disadvantage of compromised performance because of increased communication between Python and a separate Praat program (cfr. Once you’re near to orgasm, there’s absolutely absolutely nothing worse than a ringing phone or perhaps a crying kid in the following space or an embarrassing intercourse position suddenly destroying the minute. This approach works on the. For a more in-depth explanation, see this guide on sharing your labor of love. Welcome to Python 3: E-learning Text-to-Speech Alphabet application! This is a comprehensive and concise guide with amazing content that is designed to pick up every interested student from the state of "zero-knowledge" to a state of "Hero-knowledge" in development of text-to-speech application. Writing JSON to a File The easiest way to write your data in the JSON format to a file using Python is to use store your data in a dict object, which can contain other nested dict s, arrays, booleans, or other primitive types like integers and. Last June the Digital Analytics Association named Evolytics the Top Analytics Agency of the year. Welcome to Python Text-to-Speech recognition application (Full project)! This is a comprehensive and concise guide with amazing content that is designed to pick up every interested student from the state of "zero-knowledge" to a state of "Hero-knowledge" in development of text-to-speech application. TextBlob: Simplified Text Processing¶. Character,Speech The multitude,The messiah! Show us the messiah! Brians mother,Now you listen here!. Returns a palette that is a sequence of 3-tuples or 4-tuples, synthesizing it from the PLTE and tRNS chunks. Our 2nd method is word frequency analysis provided on The Glowing Python blog [3]. Gratis Convert An AUDIO FILE Into TEXT Using Google Speech Recognition In Python 3 Gratis Convert Audio File To Text In Python Speech Recognition In Python. Python is a computer programming language that lets you work more quickly than other programming languages. 7 web services to the App Engine Python 3 standard environment. This method is very simple for implementing speech projects. Text to speech (TTS) is the conversion of written text into spoken voice. It also discusses various robot software frameworks and how to go about coding the robot using Python and its framework. Speech Recognition in Python using Google Speech API Speech Recognition is an important feature in several applications used such as home automation, artificial intelligence, etc. voiceEngine. six - Python 2 and 3 compatibility utilities. The ASK SDK for Python (Beta) also introduces flexible handler registration, allowing you to use either decorators or traditional class-based implementations of handler features. txt is the text. From the Raspberry Pi Zero to the A+/B+ to the Raspberry Pi 2, all have the capacity to run free software to turn text to speech. Python HOME Python Intro Python Get Started Python Syntax Python Comments Python Variables Python Data Types Python Numbers Python Casting Python Strings Python Booleans Python Operators Python Lists Python Tuples Python Sets Python Dictionaries Python IfElse Python While Loops Python For Loops Python Functions Python Lambda Python Arrays. timegm ( tuple ) ¶ An unrelated but handy function that takes a time tuple such as returned by the gmtime() function in the time module, and returns the corresponding Unix timestamp value, assuming an epoch of 1970. 1) Simple way to access google api for speech recognition with python. So, in conclusion to this Python Speech Recognition, we discussed the Speech Recognition API to read an Audio file in Python. The Speech Recognition API provides the ability to convert spoken audio to text by sending audio to Microsoft’s servers in the cloud. eSpeak is good text to speech(tts) engine. Then each sentence is. eSpeak reads the text from the standard input or the input file. Convert written text into natural-sounding audio in a variety of languages and voices. Active 11 months ago. In order to use it with Python 3 you need to work with pyttsx3. Download as MP3 or listen to it. It shall be the latest version. Of course, this site is also created from reStructuredText sources using Sphinx!. Re: text to speech via Python 3. It is a Library for performing speech recognition, with support for several engines and APIs, online and. 3, you can use any version you like (as long as it supports the relevant libraries). I this Instructable I will show you how to do this using Python and Espeak. 0 Cookbook is your handy and illustrative guide, which will walk you through all the Natural Language Processing techniques in a step–by-step manner. Google's Text to Speech engine is a little different to Festival and Espeak. Text to speech converter is a great technology which is now a days used in many software. Google Text to Speech. Hello ! So I started to make an AI like siri with python. NLTK provides a PunktSentenceTokenizer class that you can train on raw text to produce a custom sentence tokenizer. spaCy is the best way to prepare text for deep learning. py is the script, egdict. So, I've been using Google Assistant on my Raspberry Pi 3 to make a sort of home assistant. Use this guide to learn the basics of developing and deploying Python 3. A quick Google search shows that it does support python 3. On Python 2, and only on Python 2, if you do not install the Monotonic for Python 2 library, some functions will run slower than they otherwise could (though everything will still work correctly). Python’s syntax is designed to be intuitive and its relative simplicity. Text to speech software isn't just for blind or partially sighted people. Audio Service needs to be running and some kind of speakers or headphones need to be attached to the windows target(s) for the speech to be audible. Then, we maintaint the speech rate at 125 words per minute and iterate the volume from 0. [code]import talkey text_to_speech = talkey. Using PocketSphinx with GStreamer and Python. Brewing beer with Linux, Python, and Raspberry Pi. This is the opposite of concatenation which merges or combines strings into one. The CereVoice Engine SDK 5. say("Hi There") [/code]Check the lin. Please try again later. Learn how to create an intelligent chatbot for your website using Python and Dialogflow. In this blog, we will see, how to use ‘Python-tesseract’, an OCR tool for python. Press "?". It support for several engines and APIs, online and offline e. In its introduction, the Python 3 Text Processing with NLTK 3 Cookbook claims to skip the preamble and ignore pedagogy, letting you jump straight into text processing. Making a Basic Text-to-speech Program in Python 3 using PyAudio. Text to speech converter is a great technology which is now a days used in many software. Speech recognition can be achieved in many ways on Linux (so on the Raspberry Pi), but personally I think the easiest way is to use Google voice recognition API. If you use the extension with an external text-to-speech program, it can help you to edit your writing, to compare your document's text with a printed document or translate your text to another language. urllib uses the http. Starting with tokenization, stemming, and the WordNet dictionary, you'll progress to part-of-speech tagging, phrase chunking, and named entity recognition. Speed matters. I was wondering whether it was possible to run the python script in aircrack as a wordlist so it would try every password generated. In addition, it also have the capability to act as a web crawler and able to retrieve information from twitter, facebook etc. 7 and Jupyter notebooks. Welcome to Python 3: E-learning Text-to-Speech Alphabet application! This is a comprehensive and concise guide with amazing content that is designed to pick up every interested student from the state of "zero-knowledge" to a state of "Hero-knowledge" in development of text-to-speech application. Unlike alternative libraries, it works offline, and is compatible with both Python 2 and 3. Python Machine Learning Solutions Learn How to Perform Various Machine Learning Tasks in the Real World. py is the script, egdict. RetroArch, the official frontend for the libretro API, released version 1. Later in this blog post, you’ll learn how to combine OpenCV’s EAST text detection algorithm with Tesseract v4 in a single Python script to automatically perform OpenCV OCR. It support for several engines and APIs, online and offline e. 2 or better is required. This tutorial will help you to Learn Python. Read Python 3 Text Processing with NLTK 3 Cookbook by Jacob Perkins for free with a 30 day free trial. This file is about 30 Mb so it might take a while to download fully if you are on a slow internet connection (it took me about 10 seconds over a cable modem). Revising existing content. It will demystify the advanced features of text analysis and text mining using the comprehensive NLTK suite. The speaker will expose an secured simple rest API for text to speech. AzureのCognitiveServicesを用いて、テキストから音声変換をやってみました。 はじめに. net Unlike other libraries, it does not require. py is the script, egdict. Converting Speech to Text is very easy in python. Stemming and Lemmatization helps us to achieve the root forms (sometimes called synonyms in search context) of inflected (derived) words. Re: text to speech via Python 3. The class attribute can assume three category values: 0 for hate speech, 1 for offensive language and 2 for neither. Unlike alternative libraries, it works offline, and is compatible with both Python 2 and 3. There is also a decent Python module which supports Python 2, and Python 3 with a few tweaks. If you’re looking to hack out a simple chatbot, then put your socks on and keep reading. However, pyttsx supports only Python 2. Microsoft Bing Text to Speech library for Python. python3 trumpet. readline() while line: [some bit of analysis here] line = fileIN. The split() method takes maximum of 2 parameters: separator (optional)- The is a delimiter. Later, we are going to use GTTS (Google text to Speech) for converting. Get the latest release of 3. gTTS (Google Text-to-Speech), a Python library and CLI tool to interface with Google Translate's text-to-speech API. There is a range of packages out there which vary in scope, complexity and maturity. Use rich-text editing to customize your posts with fonts, colors, and images. What would Siri or Alexa be without it?. Microsoft Speech API 5. Re: text to speech via Python 3. Write some Python to convert text-to-speech with the Text-to-speech API; Create a Flask route to call your Python code; Update the HTML with a button to convert text-to-speech, and an element for audio playback; Write Javascript that allows users to interact with your Flask app; Call the Text-to-Speech API. This is not I was looking for. It support for several engines and APIs, online and offline e. We make use of the Google Speech API because of it's great quality. 5" Distribute Distribute is a package that replaces Easy_install. Florida job opening for a 'python hunter' that pays just $15 an hour gets more than 2,600 applicants worldwide – including an Iranian man who caught the snakes as a teen so he could play with them. The text is released under the CC-BY-NC-ND license, and code is released under the MIT license. Speech text-to-speech with python 3. Part-of-speech tagging is one of the most important text analysis tasks used to classify words into their part-of-speech and label them according the tagset which is a collection of tags used for the pos tagging. This the second part of the Recurrent Neural Network Tutorial. Sometimes I listen to podcasts - but sometimes I'm out of interesting ones. Keras is a minimalist Python library for deep learning that can run on top of Theano or TensorFlow. Python is entirely text-based, which may look intimidating at first, but with a little guidance and practice, anyone can start coding - and this guide is here to help! The version of Python that the BBC micro:bit uses is called MicroPython. How Text Tokenization Works. Appending to a List with Append() Let's say you've got a list (or array for you non-Pythonistas) with a set number of string elements represented by colors. It is not in Anaconda3 folder. In case you're not already aware, accepting marks the question as answered and (with upvotes) is the way thanks are expressed on Stack Exchange sites. Pytsx is a cross-platform text-to-speech wrapper. Python is a wonderful and powerful programming language that's easy to use (easy to read and write) and, with Raspberry Pi, lets you connect your project to the real world. Optimizing a Text-To-Speech program with a lot of repetition. The speech recognition is one of the most useful features in several applications like home automation, AI etc. The example allows initial interface contact to access cognitive speech text. And now its time to move another section of this tutorial that is how to download different types of files such as text, html, pdf, image files etc using python. Python 3 This is a tutorial in Python3, but this chapter of our course is available in a version for Python 2. Libraries for migrating from Python 2 to 3. How to get speech output from entered text by using command-line? Also facility to change speech rate, pitch, volume etc using simple command. It also provides a single scoring measure, referred to as vaderSentiment's compound metric. Then install the talkey. I would like someone to tell me how this code could be better optimised, less work, etc. AWS Lambda Function Handler in Python. 3 open source Python GUI frameworks. The Microsoft Translation Service just requires an authentication via a Microsoft Cognitive Services API Key and then you can easily. Buy Python 3 Text Processing with NLTK 3 Cookbook by Jacob Perkins (ISBN: 9781782167853) from Amazon's Book Store. Python 2 is the past, and Python 3 is the future. You can simply speak in a microphone and Google API will translate this into written text. 3+ (required) * PyAudio 0. In this post, learn how you use Python to append to a list. The basic goal of speech processing is to provide an interaction between a human and a machine. Keras Tutorial: The Ultimate Beginner’s Guide to Deep Learning in Python Share Google Linkedin Tweet In this step-by-step Keras tutorial, you’ll learn how to build a convolutional neural network in Python!. The major advantage of using this library for text-to-speech conversion is that it works offline. With NLP, you will discover Named Entity Recognition, POS tagging and parsers, sentiment analysis, … For Python, you can make use of the nltk package. Tokenization is a way to split text into tokens. All the tuples are the same size: 3-tuples if there is no tRNS chunk, 4-tuples when there is a tRNS chunk. Using Exponent Output: enter a number: 64 square root: 8. NLTK provides a PunktSentenceTokenizer class that you can train on raw text to produce a custom sentence tokenizer. The Speech API supports both synchronous and asynchronous speech to text transcription. A good use case for this is to to highlight errors. In this article we’ll use a Python 3 to do the conversion. Learn how to create an intelligent chatbot for your website using Python and Dialogflow. An example would be trying to access the internet with python without an internet connection; the python interpreter knows what to do with that command but is unable to perform it. watsonでSpeech to Textのサービス作成・資格情報取得方法は別途投稿します。 手順. When you send an audio transcription request to Cloud Speech-to-Text, you can include a parameter telling Cloud Speech-to-Text to identify the different speakers in the audio sample. An Azure subscription key for the Speech Services. To listen to speech, choose a voice from the list, type some text, and then choose Read. There's one important detail you have to know should you want to use your Google Voice number with a two-step authentication service. When we use triple quotes, strings can span several lines without using the escape character. This sample shows you how to use your microphone with the Cloud Speech RPC API to provide non-streaming and streaming speech recognition. Here is what I came up with. This field has been object of very intensive study in the past decades. Over 80 practical recipes on natural language processing techniques using Python's NLTK 3. Step#3: Now after you run the above code snippet, whatever you say on the microphone.