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Empirical Evaluation of Speaker Adaptation on DNN based Acoustic Model
算法工程师(人工智能CV方向)面试问题及相关资料
Speech synthesis, voice conversion, self-supervised learning, music generation,Automatic Speech Recognition, Speaker Verification, Speech Synthesis, Language Modeling
RJH Curriculum Vitae
DNN-based ASR with UAspeech (pytorch-kaldi)
Coordinate-wise meta-learner for speaker adaptation of ASR models.
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
Speech Recognition for speakers with speech disorders due to diseases like Cerebral Palsy, Parkinson or Amyotrophic Lateral Sclerosis ALS.
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