Shypd.aiThe largest open index of AI toolsSpeech-to-Text-WaveNet is an open-source speech-to-text tool that provides end-to-end sentence-level English speech recognition. It is based on DeepMind's WaveNet and implemented using TensorFlow.
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Speech-to-Text-WaveNet is an open-source project offering an end-to-end sentence-level English speech recognition system. Built upon DeepMind's WaveNet architecture and implemented with TensorFlow, this tool provides a robust foundation for researchers and developers in the field of audio processing. It allows users to train and test speech recognition models using datasets like VCTK, LibriSpeech, and TEDLIUM. Key features include pre-processing audio data into MFCC features, training with CTC loss, and transforming speech wave files into English text. The project also highlights areas for future development, such as integrating language models and supporting polyglot recognition, making it a valuable resource for advancing speech AI.
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