Build a Custom ASR Model in TensorFlow: A Step-by-Step Tutorial
Learn the basics of speech recognition with TensorFlow and build practical applications with this tutorial. Discover the history of speech recognition and the challenges that come with dealing with human speech variability, similar-sounding words, and low-quality audio. Explore the various techniques used in speech recognition, such as machine learning algorithms like deep learning, Hidden Markov Models (HMM), Dynamic Time Warping (DTW), and phonetic-based approaches. Discover how transformers have transformed the field of speech recognition and how they can be used to recognize different languages, understand natural language, and distinguish between similar words. Follow along with the tutorial to build a basic speech recognition model using TensorFlow, combining a 2D convolutional neural network (CNN), recurrent neural network (RNN), and Connectionist Temporal Classification (CTC), and apply this knowledge to develop practical applications.
Text Version Tutorial: https://pylessons.com/speech-recognition
GitHub: https://github.com/pythonlessons/mltu...
pypi: https://pypi.org/project/mltu/
#machinelearning #python #tensorflow #opencv #ASR