zw76859420/ASR_Syllable
基于卷积神经网络的语音识别声学模型的研究
This project offers various acoustic models for Mandarin speech recognition, converting spoken audio into written text. It specifically focuses on syllable-based recognition, providing different convolutional neural network architectures like MCNN-CTC and Densenet-CTC. Researchers and engineers working on Chinese speech-to-text systems can use this to build or improve their models.
181 stars. No commits in the last 6 months.
Use this if you are a researcher or engineer developing automatic speech recognition (ASR) systems for Mandarin Chinese and need high-performance acoustic models.
Not ideal if you are looking for a ready-to-use speech-to-text application for end-users, or if your focus is on languages other than Mandarin Chinese.
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Python
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Last pushed
Jul 22, 2019
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