Pinned Repositories
Adaptation-Interspeech18
Empirical Evaluation of Speaker Adaptation on DNN based Acoustic Model
Awesome-algorithm-interview
算法工程师(人工智能CV方向)面试问题及相关资料
awesome-speech-recognition-speech-synthesis-papers
Speech synthesis, voice conversion, self-supervised learning, music generation,Automatic Speech Recognition, Speaker Verification, Speech Synthesis, Language Modeling
CV
RJH Curriculum Vitae
dysarthria-DNN
DNN-based ASR with UAspeech (pytorch-kaldi)
Improving-the-Intelligibility-of-Dysarthric-Speech
learning_to_adapt
Coordinate-wise meta-learner for speaker adaptation of ASR models.
ML-NLP
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-Impaired-Speech
Speech Recognition for speakers with speech disorders due to diseases like Cerebral Palsy, Parkinson or Amyotrophic Lateral Sclerosis ALS.
tensorflow-wavenet
A TensorFlow implementation of DeepMind's WaveNet paper
mortyzhou's Repositories
mortyzhou/Adaptation-Interspeech18
Empirical Evaluation of Speaker Adaptation on DNN based Acoustic Model
mortyzhou/Awesome-algorithm-interview
算法工程师(人工智能CV方向)面试问题及相关资料
mortyzhou/awesome-speech-recognition-speech-synthesis-papers
Speech synthesis, voice conversion, self-supervised learning, music generation,Automatic Speech Recognition, Speaker Verification, Speech Synthesis, Language Modeling
mortyzhou/CV
RJH Curriculum Vitae
mortyzhou/dysarthria-DNN
DNN-based ASR with UAspeech (pytorch-kaldi)
mortyzhou/Improving-the-Intelligibility-of-Dysarthric-Speech
mortyzhou/learning_to_adapt
Coordinate-wise meta-learner for speaker adaptation of ASR models.
mortyzhou/ML-NLP
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。
mortyzhou/Speech-Recognition-Impaired-Speech
Speech Recognition for speakers with speech disorders due to diseases like Cerebral Palsy, Parkinson or Amyotrophic Lateral Sclerosis ALS.
mortyzhou/tensorflow-wavenet
A TensorFlow implementation of DeepMind's WaveNet paper
mortyzhou/transformer
A TensorFlow Implementation of the Transformer: Attention Is All You Need