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Yichi Huang's Projects

audiomlproject1 icon audiomlproject1

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.

audiomlproject2 icon audiomlproject2

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.

audiomlproject3 icon audiomlproject3

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

deepxi icon deepxi

Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2. For speech enhancement and robust ASR.

karry icon karry

I want to develop a voice-control product named "karry".

models icon models

Models and examples built with TensorFlow

mtdsr2015 icon mtdsr2015

A mandarin corpus for text-dependent speaker recognition.

speech_rec_py icon speech_rec_py

Speech recognition application developed by Python. Use Eclipse with Pydev, Anancoda and PyQt. Call baidu yuyin API. Machine learning course demo.

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