shiziqiang Goto Github PK
Type: User
Company: Fujitsu
Type: User
Company: Fujitsu
This repos is the implementation of our paper "CheckSORT: Refined Synthetic Data Combination and Optimized SORT for Automatic Retail Checkout", which will be officially published at AICity23 workshop.
This repo is to prepare synthetic data for training classifiers and detectors used in https://github.com/ShiZiqiang/aicity-23/. Details on how to generate the data can be found in our paper "CheckSORT: Refined Synthetic Data Combination and Optimized SORT for Automatic Retail Checkout".
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".
Some audio samples separated by furcanext
This is the demo sources for audio generation with stochastic differential equations.
Implements SFO minibatch optimizer in Python and MATLAB, and reproduces figures from paper.
transform-average-concatenate (TAC) method for end-to-end microphone permutation and number invariant ad-hoc beamforming.
This is the demo sources for 5-talker speech separation with TasTas
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.