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Name: Yichi Huang
Type: User
Company: Peking University Shenzhen Graduate School
Bio: CS graduate student. Research interests include speaker recognition and NLP.
Location: Shenzhen, Guangdong Province
Name: Yichi Huang
Type: User
Company: Peking University Shenzhen Graduate School
Bio: CS graduate student. Research interests include speaker recognition and NLP.
Location: Shenzhen, Guangdong Province
Voice Activity Detection: In this first assignment, we will create a dataset that simulates speech in every-day scenarios. We train a classifier on this dataset for distinguishing voiced from non-voiced sections, a task called voice activity detection, VAD for short. This, of course, requires a ground truth in terms of VAD annotations.
Speaker Detection: We have one target speaker whom we want to detect. The set of impostors is open, i.e., we have no prior information on the test speakers. An important part of the speaker detection pipeline is voice activity detection to filter out segments of the signal that do not contain speech.
Emotion recognition of Speaker's Speech Data. Employ speaker detection classifiers for emotion recognition, a multiclass classification problem. Emotion Classes: Happy, Sad, Neutral, Relaxed and Angry
Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2. For speech enhancement and robust ASR.
I want to develop a voice-control product named "karry".
Models and examples built with TensorFlow
A mandarin corpus for text-dependent speaker recognition.
Includes all the papers and other publications of me.
Speech recognition application developed by Python. Use Eclipse with Pydev, Anancoda and PyQt. Call baidu yuyin API. Machine learning course demo.
Coursera machine learning course matlab exercise.
My old github blog. New blog has changed to ychuang.github.io.
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Open source projects and samples from Microsoft.
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China tencent open source team.