神经网络语音分离必读论文、代码、教程、公开数据集整理分享
语音分离的目标是把目标语音从背景干扰中分离出来。在信号处理中,语音分离属于很基本的任务类型,应用范围很广泛,包括听力假体、移动通信、鲁棒的自动语音以及说话人识别。人类听觉系统能轻易地将一个人的声音和另一个人的分离开来。即使在鸡尾酒会那样的声音环境中,我们似乎也能毫不费力地在其他人的说话声和环境噪声的包围中听到一个人的说话内容。因此语音分离问题通常也被叫做「鸡尾酒会问题」(cocktail party problem),该术语由 Cherry 在他 1953 年那篇著名论文中提出。
本资源整理了纯语音分离和多模式语音分离相关的必读论文、公开数据集、实例教程和实战代码等资源,分享给需要的朋友。
资源整理自网络,源地址:https://github.com/JusperLee/Speech-Separation-Paper-Tutorial
论文、数据集、代码下载地址,见源地址。
深度学习与NLP的书店互联网算法岗面试必备题库-深度书店小程序
深度语音分离论文
[Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation, Po-Sen Huang, TASLP 2015] [Paper] [Code (posenhuang)]
[Complex Ratio Masking for Monaural Speech Separation, DS Williamson, TASLP 2015] [Paper]
[Deep clustering: Discriminative embeddings for segmentation and separation, JR Hershey, ICASSP 2016] [Paper] [Code (Kai Li)] [Code (funcwj)] [Code (asteroid)]
[Single-channel multi-speaker separation using deep clustering, Y Isik, Interspeech 2016] [Paper] [Code (Kai Li)] [Code (funcwj)]
[Permutation invariant training of deep models for speaker-independent multi-talker speech separation, Dong Yu, ICASSP 2017] [Paper] [Code (Kai Li)]
[Recognizing Multi-talker Speech with Permutation Invariant Training, Dong Yu, ICASSP 2017] [Paper]
[Multitalker speech separation with utterance-level permutation invariant training of deep recurrent neural networks, M Kolbæk, TASLP 2017] [Paper] [Code (Kai Li)]
[Deep attractor network for single-microphone speaker separation, Zhuo Chen, ICASSP 2017] [Paper] [Code (Kai Li)]
[A consolidated perspective on multi-microphone speech enhancement and source separation, Sharon Gannot, TASLP 2017] [Paper]
[Alternative Objective Functions for Deep Clustering, Zhong-Qiu Wang, ICASSP 2018] [Paper]
[End-to-End Speech Separation with Unfolded Iterative Phase Reconstruction Zhong-Qiu Wang et al. 2018] [Paper]
[Speaker-independent Speech Separation with Deep Attractor Network, Luo Yi, TASLP 2018] [Paper] [Code (Kai Li)]
[Tasnet: time-domain audio separation network for real-time, single-channel speech separation, Luo Yi, ICASSP 2018] [Paper] [Code (Kai Li)] [Code (asteroid)]
[Supervised Speech Separation Based on Deep Learning An Overview, DeLiang Wang, Arxiv 2018] [Paper]
[An Overview of Lead and Accompaniment Separation in Music, Zafar Rafi, TASLP 2018] [Paper]
[Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation, Luo Yi, TASLP 2019] [Paper] [Code (Kai Li)] [Code (asteroid)]
[Divide and Conquer: A Deep CASA Approach to Talker-independent Monaural Speaker Separation, Yuzhou Liu, TASLP 2019] [Paper] [Code]
[Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation, Luo Yi, Arxiv 2019] [Paper] [Code (Kai Li)]
[End-to-end Microphone Permutation and Number Invariant Multi-channel Speech Separation, Luo Yi, Arxiv 2019] [Paper] [Code]
[FaSNet: Low-latency Adaptive Beamforming for Multi-microphone Audio Processing, Yi Luo , Arxiv 2019] [Paper]
[A comprehensive study of speech separation: spectrogram vs waveform separation, Fahimeh Bahmaninezhad, Interspeech 2019] [Paper]
[Discriminative Learning for Monaural Speech Separation Using Deep Embedding Features, Cunhang Fan, Interspeech 2019] [Paper]
[Interrupted and cascaded permutation invariant training for speech separation, Gene-Ping Yang, ICASSP, 2020][Paper]
[FurcaNeXt: End-to-end monaural speech separation with dynamic gated dilated temporal convolutional networks, Liwen Zhang, MMM 2020] [Paper]
[Filterbank design for end-to-end speech separation, Manuel Pariente et al., ICASSP 2020] [Paper]
[Voice Separation with an Unknown Number of Multiple Speakers, Eliya Nachmani, Arxiv 2020] [Paper] [Demo]
[AN EMPIRICAL STUDY OF CONV-TASNET, Berkan Kadıoglu , Arxiv 2020] [Paper] [Code]
[Voice Separation with an Unknown Number of Multiple Speakers, Eliya Nachmani, Arxiv 2020] [Paper]
[Wavesplit: End-to-End Speech Separation by Speaker Clustering, Neil Zeghidour et al. Arxiv 2020 ] [Paper]
[La Furca: Iterative Context-Aware End-to-End Monaural Speech Separation Based on Dual-Path Deep Parallel Inter-Intra Bi-LSTM with Attention, Ziqiang Shi, Arxiv 2020] [Paper]
[Enhancing End-to-End Multi-channel Speech Separation via Spatial Feature Learning, Rongzhi Gu, Arxiv 2020] [Paper]
[Deep Attention Fusion Feature for Speech Separation with End-to-End Post-filter Method, Cunhang Fan, Arxiv 2020] [Paper]
[Enhancing End-to-End Multi-channel Speech Separation via Spatial Feature Learning, Rongzhi Guo, ICASSP 2020] [Paper]
[A Multi-Phase Gammatone Filterbank for Speech Separation Via Tasnet, David Ditter, ICASSP 2020] [Paper] [Code]
[Lightweight U-Net Based Monaural Speech Source Separation for Edge Computing Device, Kwang Myung Jeon, ICCE 2020] [Paper]
[LibriMix: An Open-Source Dataset for Generalizable Speech Separation, Joris Cosentino, Arxiv 2020] [Paper] [Code]
[An End-to-end Architecture of Online Multi-channel Speech Separation, Jian Wu, Interspeech 2020] [Paper]
[SAGRNN: Self-Attentive Gated RNN for Binaural Speaker Separation with Interaural Cue Preservation, Ke Tan, IEEE Signal Processing Letters] [Paper]
多模态语音分离
[Audio-Visual Speech Enhancement Using Multimodal Deep Convolutional Neural Networks, Jen-Cheng Hou, TETCI 2017] [Paper] [Code]
[The Conversation: Deep Audio-Visual Speech Enhancement, Triantafyllos Afouras, Interspeech 2018] [Paper]
[End-to-end audiovisual speech recognition, Stavros Petridis, ICASSP 2018] [Paper] [Code]
[The Sound of Pixels, Hang Zhao, ECCV 2018] [Paper] [Code]
[Looking to Listen at the Cocktail Party: A Speaker-Independent Audio-Visual Model for Speech Separation, ARIEL EPHRAT, ACM Transactions on Graphics 2018] [Paper] [Code]
[Learning to Separate Object Sounds by Watching Unlabeled Video, Ruohan Gao, ECCV 2018] [Paper]
[Time domain audio visual speech separation, Jian Wu, Arxiv 2019] [Paper]
[Audio-Visual Speech Separation and Dereverberation with a Two-Stage Multimodal Network, Ke Tan, Arxiv 2019] [Paper]
[Co-Separating Sounds of Visual Objects, Ruohan Gao, ICCV 2019] [Paper] [Code]
[Multi-modal Multi-channel Target Speech Separation, Rongzhi Guo, J-STSP 2020] [Paper]
评价指标
[Performance measurement in blind audio sourceseparation, Emmanuel Vincent et al., TASLP 2004] [Paper]
[SDR – Half-baked or Well Done?, Jonathan Le Roux, ICASSP 2019] [Paper]
数据集
[WSJ0] [Dataset Link]
[WHAM & WHAMR] [Dataset Link]
[Microsoft DNS Challenge] [Dataset Link]
[AVSpeech] [Dataset Link]
[LRW] [Dataset Link]
[LRS2] [Dataset Link]
[LRS3] [Dataset Link] [Multi Model Data Processing Script]
[VoxCeleb] [Dataset Link]
[LibriMix] [Dataset Link]
[LibriSS] [Dataset Link]
视频教程
[Speech Separation, Hung-yi Lee, 2020] [Video] [Slide]
神经网络语音分离必读论文、代码、教程、公开数据集整理分享相关推荐
- 智能问答-问题生成(QG)历史最全论文、综述、数据集整理分享
Question Generation(问题生成),简单理解就是"主动提问"的AI应用场景,是Question Answer(QA)一个子领域.QG 的应用还是挺广泛的,像是为 Q ...
- 三维重建公开数据集整理(MVS篇)
三维重建公开数据集整理(MVS篇),不定期更新. 同步到Github仓库:https://github.com/ethan-li-coding/Datasets-of-MVS-reconstructi ...
- 旋转机械故障诊断公开数据集整理
旋转机械故障诊断公开数据集整理 众所周知,当下做机械故障诊断研究最基础的就是数据,再先进的方法也离不开数据的检验.笔者通过文献资料收集到如下几个比较常用的数据集并进行整理.鉴于目前尚未见比较全面的数据 ...
- 历史最全开放语音/音频数据集整理分享
本资源整理了40多个语音和音频处理相关的开源数据集,分享给有需要的朋友. 资源整理自网络,源地址:https://github.com/jim-schwoebel/voice_datasets 有两种 ...
- fNIRS 公开数据集整理
关注"心仪脑"查看更多脑科学知识的分享. 关键词:数据整理.fNIRS 之前我们向大家推送了 Public Neuroscience Dataset 系列主题的第一期: <E ...
- fMRI 公开数据集整理
关注"心仪脑"公众号查看更多脑科学知识的分享. 关键词:fMRI.公开数据 本期推文是 Public Neuroscience Dataset 系列主题的第三期内容.在本期推文中, ...
- EEG 公开数据集整理
关注"心仪脑"查看更多脑科学知识的分享. 许多研究者使用EEG这项技术开展科研工作时,经常会遇到这样一个问题:有很好的idea但苦于缺乏足够的数据支持和验证.尤其是在2019 - ...
- MEG公开数据集整理
关注"心仪脑"查看更多脑科学知识的分 关键词:MEG.公开数据.资源推荐 本期推文是 Public Neuroscience Dataset 系列主题的第四期内容.这期推文编者整理 ...
- 神经网络问答生成最全模型、策略、应用相关论文、资源、评测整理分享
本文整理了基于神经网络的问答系统中,文本生成相关各种算法.优化策略.应用场景的经典论文,以及相关的评估.开源资源等等,需要朋友自取. 资源整理自网络,源地址:https://github.com/te ...
最新文章
- 数据结构与算法--绪论
- centos yum 安装配置
- Flutter开发之ListView组件(21)
- 批量探测工具fpingping常用命令集合大学霸IT达人
- 睢县职教中心计算机专业18年高考 成绩,南模18年高考成绩喜人!想进这所学校,你需要知道这些~...
- Dubbo(四)之xml配置方式
- C函数的实现(strcpy,atoi,atof,itoa,reverse)
- 常见笔顺错误的字_最全汉字书写笔顺规则
- 深入探索Java工作原理:JVM,内存回收及其他
- 《Go语言实战》读书笔记——关于Go语言的介绍
- 网络规划设计师的参考资料和复习书籍
- 零基础学习GitHub桌面版-1 GitHub桌面版的下载安装与使用
- 一个神奇的大学科目《软件工程》,知识点总结+测试题,包你不挂科
- win2003 R2 SP2 x64 可用密钥
- 用python写一元二次方程_使用Python解一元二次方程!
- Markdown中使用latex插入公式花体字母
- Newstart HA进阶
- 被巨头、快递、新贵分食的跨境电商
- CNN Matlab例子RGB_MATLAB如何提取曲线原始数据
- 诸葛io的技术架构图_大数据平台的技术演化之路 诸葛io平台设计实例
热门文章
- matlab或_数学建模与MATLAB——MATLAB入门
- 思维导图怎么画,教你套用思维导图模板
- 浏览器中优秀的收藏夹书签
- Nginx输出header到access日志文件
- 战神引挚手游数据库解析mysql/mir
- GEE实战 | LULC获取与处理
- 氮化镓助力快充小型化,KEMET聚合物钽电容大显身手
- ieee 802.1
- Druid数据源MySql语句,添加租户(tenant_id)id
- [BZOJ4889][洛谷P3759][TJOI2017]不勤劳的图书管理员 分块+树状数组