tensorflow_end2end_speech_recognition and tensorflow-ctc-speech-recognition
About tensorflow_end2end_speech_recognition
hirofumi0810/tensorflow_end2end_speech_recognition
End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)
This project helps researchers and developers build custom speech recognition systems. It takes audio recordings from popular speech datasets like TIMIT, LibriSpeech, or CSJ, and processes them to output text transcripts. It's designed for someone specializing in machine learning or natural language processing who needs to experiment with advanced end-to-end speech recognition models.
About tensorflow-ctc-speech-recognition
philipperemy/tensorflow-ctc-speech-recognition
Application of Connectionist Temporal Classification (CTC) for Speech Recognition (Tensorflow 1.0 but compatible with 2.0).
This project helps speech technologists and researchers convert spoken audio into written text using a neural network approach. You provide audio files of someone speaking, and it attempts to transcribe those words into a written transcript. It's designed for those exploring or implementing speech recognition systems, particularly with Connectionist Temporal Classification (CTC).
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