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yunzhongshanyue's Projects

asrt_speechrecognition icon asrt_speechrecognition

A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统

asteroid icon asteroid

The PyTorch-based audio source separation toolkit for researchers || Current highlight : we got our WHAMR results check it out here !

awesome-resume icon awesome-resume

程序员简历例句,程序员简历范例,Java简历模版,Python简历模版,C++简历模版

bert-dst icon bert-dst

BERT-DST: Scalable End-to-End Dialogue State Tracking with Bidirectional Encoder Representations from Transformer

cmu-multimodalsdk icon cmu-multimodalsdk

CMU MultimodalSDK is a machine learning platform for development of advanced multimodal models as well as easily accessing and processing multimodal datasets.

code_2020icassp_five icon code_2020icassp_five

Fast Independent Vector Extraction: Code and data to reproduce the results from the paper.

conv-tasnet icon conv-tasnet

A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).

deepxi icon deepxi

Deep Xi: A Deep Learning Approach to A Priori SNR Estimation. Used for Speech Enhancement and robust ASR.

dual-path-rnn-pytorch icon dual-path-rnn-pytorch

Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation implemented by Pytorch

dual-path-rnns-dprnns-based-speech-separation icon dual-path-rnns-dprnns-based-speech-separation

A PyTorch implementation of dual-path RNNs (DPRNNs) based speech separation described in "Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation".

esptouchforandroid icon esptouchforandroid

EspTouch is one way for Android Phone to tell the connected Router's Ssid, Password and etc. to make IOT devices to connect to the same Router. EspTouch is developed and maintained by Espressif Corp.

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fucking-algorithm icon fucking-algorithm

手把手撕LeetCode题目,扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.

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