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Name: JingYu
Type: User
Name: JingYu
Type: User
PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)
神经网络与深度学习--上海财经大学涂老师
Low Rank Transformer ASR
PyTorch implementation for HyperMixing, a linear-time token-mixing technique used in HyperMixer architecture
Pytorch实现的流式与非流式的自动语音识别框架,同时兼容在线和离线识别,目前支持Conformer、Squeezeformer、DeepSpeech2模型,支持多种数据增强方法。
Official repository of MLLA
基于PaddlePaddle实现端到端中文语音识别,从入门到实战,超简单的入门案例,超实用的企业项目。支持当前最流行的DeepSpeech2、Conformer、Squeezeformer模型
Python Learn
This code implements a basic MLP for speech recognition. The MLP is trained with pytorch, while feature extraction, alignments, and decoding are performed with Kaldi. The current implementation supports dropout and batch normalization. An example for phoneme recognition using the standard TIMIT dataset is provided.
[ICCV 2021] Code for approximated exponential maximum pooling
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Data-Driven Documents codes.
China tencent open source team.