Acoustic Model for Sichuan Dialect Speech Recognition Based on Deep Neural Network

With the maturity of speech recognition technology, the demand for the popularization of speech recognition in small languages and local dialects is gradually increasing. This article proposes an acoustic model based on deep neural networks for the Sichuan dialect speech recognition task. By training the special pronunciation methods of Sichuan dialect, the model's temporal discrimination ability was improved.