论文：Keyword Spotting Based On CTC and RNN For Mandarin Chinese Speech - 代码天地

论文：Keyword Spotting Based On CTC and RNN For Mandarin Chinese Speech

编程语言 2019-07-04 21:51:04 阅读次数: 0

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转载自blog.csdn.net/qq_26369907/article/details/94657555

论文：Keyword Spotting Based On CTC and RNN For Mandarin Chinese Speech

（ISCSLP16）End-to-end keywords spotting based on connectionist temporal classification for Mandarin

（IS 19）Binary Speech Features for Keyword Spotting Tasks Alexandre Riviello, Jean-Pierre David（重点）

语音合成论文优选：Unified Mandarin TTS Front-end Based on Distilled BERT Model

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin

基于RNN的CTC loss

【论文精读】InstructIE: A Chinese Instruction-based Information Extraction Dataset

论文翻译：Speech Enhancement Based on the General Transfer Function GSC and Postfiltering

【论文学习笔记】《A Review of Deep Learning Based Speech Synthesis》

【论文笔记之speech separation overview】Supervised Speech Separation Based on Deep Learning-An Overview

(ICASSP 19)Federated Learning for Keyword Spotting

Speech and Language Processing之RNN

Convolutional Neural Networks for Small-footprint Keyword Spotting论文笔记

论文：用RNN书写及识别汉字, Drawing and Recognizing Chinese Characters with Recurrent Neural Network

ctc学习论文

论文笔记《Consensus Attention-based Neural Networks for Chinese Reading Comprehension》

【论文学习】Combination of ResNet and Center Loss Based Metric Learning for Handwritten Chinese Character

【论文阅读】FASPell: A Fast, Adaptable, Simple, Powerful Chinese Spell Checker Based On DAE-Decoder Paradigm

《Sentiment Analysis of Chinese Microblog Based on Stacked Bidirectional LSTM》论文阅读笔记

[论文笔记] IJCAI2019: CNN-Based Chinese NER with Lexicon Rethinking

[论文笔记] EMNLP2019: A Lexicon-Based Graph Neural Network for Chinese NER

论文阅读笔记“Attention-based Audio-Visual Fusion for Rubust Automatic Speech recognition”

语音合成论文优选：Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guide

(ICASSP19)END-TO-END STREAMING KEYWORD SPOTTING

（IEEE Access7）Effective Combination of DenseNet and BiLSTM for Keyword Spotting

（2017）Honk: A PyTorch Reimplementation of Convolutional Neural Networks for Keyword Spotting

Video_based_ReID_RNN

论文阅读笔记六十四: Architectures for deep neural network based acoustic models defined over windowed speech waveforms(INTERSPEECH 2015)

语音合成论文优选：鲁棒性transformerTTS RobuTrans: A Robust Transformer-Based Text-to-Speech Model

论文翻译：2021_A New Real-Time Noise Suppression Algorithm for Far-Field Speech Communication Based on ...

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