Pressing the Listen to speech button reads out the text typed into the text box. There is a Language and Region dropdown to choose the desired language from and several male and female voices to pick too. If you have an AWS account, you can access and try out the Amazon Polly console here: The below program creates an mp3 file out of text "안녕하세요" in Korean and plays it.Īmazon also has a cloud-based text-to-speech service called Amazon Polly. Gtts-cli "你好" -l 'zh-cn' -o hello.mp3 -slow The below line creates an mp3 file which reads the text "你好" in Chinese. GTTS supports quite a number of languages. The created hello.mp3 file is saved in the very location where your Python program is. Tts = gTTS(text='Hello, World!', lang='en') Import the os module and play the created hello.mp3 file. You will see the prompt consisting of three greater-than signs ( >), which is known as the Python REPL prompt. We now start the Python interactive shell known as the Python Shell Gtts-cli 'Hello, World!' -output hello.mp3 Using the gtts-cli, we read the text 'Hello, World!' and output it as an mp3 file. We will install mpg321 to play these created mp3 files from the command-line. GTTS creates an mp3 file from spoken text via the Google Text-to-Speech API. It has a library and CLI tool in Python called gTTS to interface with the Google Translate text-to-speech API. It was first released on November 6, 2013. Now, Google also has developed an application to read text on screen for its Android operating system. You can actually loop through all the available voices and pick the index of the voice you desire.Įngine.say('Here we go round the mulberry bush.') Of course, I have picked the accents which are easier for me to make out.ĮtProperty('voice', voices.id) If you wish for a female voice, pick voices, voices from the voices property of the engine. Now let us change the voice in pyttsx3 from male to female. Here is the basic program which shows how to use it. Import the installed pyttsx3 into your program. Install it via pip.īy default, the pyttsx3 library loads the best driver available in an operating system: nsss on Mac, sapi5 on Windows and espeak on Linux and any other platform. The best thing about pyttsx is that it works offline without any kind of delay. We will start with the tutorial on pyttsx, a Text-to-Speech (TTS) conversion library compatible with both Python 2 and 3. If you have already installed it, upgrade it. We first install pip, the package installer for Python. In this tutorial, we take a look at three of them: pyttsx, Google Text-to-Speech (gTTS) and Amazon Polly. Çalışmalarımı Yapay Zeka, Makine Öğrenmesi, Veri Geliştirme ve NLP gibi konularda sürdürüyorum.There are several speech synthesizers that can be used with Python. PYTHON diline yönelik yayınlanmış 3, yayım sırasını bekleyen 1 kitabım var. Türkçe sözcükleri derleyen, açık kaynak DerlemTR projesini geliştirdim ve üzerinde çalışmaya devam ediyorum. Python, Java, Delphi, C, C++, Visual Basic gibi dillerle çalıştım. Orta Doğu Teknik Üniversitesi İnşaat Mühendisliği bölümünden mezun oldum.īeş yıllık şantiyecilik döneminden sonra yazılım alanına geçtim. I continue working in Artificial Intelligence, Machine Learning, Data Engineering and NLP. My fourth Python book will be published in August, 2019. I have three published Python books in Turkish. I started the Open Source Project DerlemTR in order to collect all words in living Turkish and I continue to work on the same project. I have a total of 35 years of programming experience. I worked with Python, Java, Delphi, C, C++, Visual Basic, Clipper and some other programming languages. I was graduated from Middle East Technical University of Ankara - Turkey as a Civil Engineer.Īfter working in some construction sites for five years, I started computer programming. I hope I can help you to start working on TTS and STT with Python. But, our Python scripts will be also compatible with Windows 10 and Mac OS X which can run Python 3.6.Īt the last section of our course, I will show simply how to install required libraries and applications and run our Python scripts in both Windows and Mac.Īfter this course, I will publish a more advanced course on Speech-to-Text (STT). Our main operating system is Ubuntu Linux, version 18.04 LTS. Of course, this is not a must! You can write your scripts in a terminal too. In the course we will use Pycharm Community IDE. We will study very simple coding examples. A little better than beginner level of programming skill will be enough. In this course, we will learn the basics of Text-to-Speech (TTS). Our mobile phones understand what we say and speak.
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