Reading list from NCMMSC Speech group
来自cslt Wiki
| Paper | Referee | Area and notes | Link | |||||
|---|---|---|---|---|---|---|---|---|
| George E. Dahl, Dong Yu, Li Deng, and Alex Acero, Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition, 2011, IEEE Trans on ASLP. Vol.20, No.1. | 贾磊（百度） | 推动DNN应用于工业级ASR | http://research.microsoft.com/pubs/144412/dbn4lvcsr-transaslp.pdf | |||||
| Lawrence R. Rabiner, A tutorial on hidden Markov models and selected applications in speech recognition | 谢磊（西工大） | HMM | http://www.cs.ubc.ca/~murphyk/Bayes/rabiner.pdf | |||||
| End-to-End Text-Dependent Speaker Verification Georg Heigold, Ignacio Moreno, Samy Bengio, Noam Shazeer | 肖雄（南洋理工大学） | 这篇文章用神经网络来对不同长度的句子提取固定长度的向量（类似ivector）的作用。 | ||||||
| Rapid Speaker Adaptation in Eigenvoice Space | 苏腾荣（华米） | 对后面的基于超矢量的方法都有影响 | ||||||
| G. Hinton, L. Deng, D. Yu et al., “Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups,” Signal Processing Magazine, IEEE, vol. 29, no. 6, pp. 82-97, 2012. | 邹月娴（北大深圳） | DNN 声学模型 | ||||||
| Speech recognition with weighted finite-state transducers | 苏腾荣（华米） | ASR的标配 | http://www.cslu.ogi.edu/~zak/cs506-lvr/mohri-wfst_asr.pdf | |||||
| Speech Recognition Algorithms Using Weighted Finite-State Transducers Takaaki Hori and Atsushi Nakamura Synthesis Lectures on Speech and Audio Processing, January 2013, Vol. 9, No. 1 , Pages 1-162 | 陶斐（UTD） | ASR和WFST | ||||||
| Biing-Hwang Juang, Wu Chou, Member, and Chin-Hui Lee，Minimum classification error rate methods for speech recognition | 洪青阳（厦门大学） | 区分性训练MCE | ||||||
| Daniel Povey.Discriminative Training for Large Vocabulary Speech Recognition. | 杨嵩（驰声科技） | 声学模型区分性训练 | ||||||
| Has¸im Sak, Andrew Senior, Kanishka Rao, Franc¸oise Beaufays, Fast and Accurate Recurrent Neural Network Acoustic Models for Speech Recognition | 徐海华（南阳理工大学），苏牧（云知声） | CTC | ||||||
| Alex Graves, Supervised Sequence Labeling with Recurrent Neural Networks. Phd thesis. | 汤本来（南开），李博（谷歌） | LSTM，CTC | ||||||
| Fast and Accurate Recurrent Neural Network Acoustic Models for Speech Recognition.Has¸im Sak, Andrew Senior, Kanishka Rao, Franc¸oise Beaufays | 徐海华（南洋理工学） | CTC | http://arxiv.org/pdf/1507.06947.pdf | |||||
| Lattice-based optimization of sequence classification criteria for neural-network acoustic modeling by Brian Kingsbury, IBM Watson | 王广森（新加坡I2R） | |||||||
| MJF Gales:Maximum likelihood linear transformations for HMM-based speech recognition.《Computer Speech & Language》, 1998, 12(2):75–98 | 钱彦旻（上海交大） | MLLR | ||||||
| Woodland, P.C.: Maximum likelihood linear regression for speaker adaptation of continuous density hidden Markov models. Computer Speech and Language 9(2),
171-185||钱彦旻（上海交大）||MLLR|| | ||||||||
| Tandem connectionist feature extraction for conventional HMM systems，hermansky | 钱彦旻（上海交大） | 自适应 | ||||||
| Subspace Gaussian mixture models for speech recognition. Povey, D. | 钱彦旻（上海交大） | dan的SGMM | ||||||
| A novel scheme for speaker recognition using a phonetically-aware deep neural network Y Lei, N Scheffer, L Ferrer, M McLaren | 夏瑞（Intel Lab） | |||||||
| Campbell W M, Sturim D E, Reynolds D A. Support vector machines using GMM supervectors for speaker verification[J]. Signal Processing Letters, IEEE, 2006, 13(5): 308-311. | 龙艳花（上海师范大学） | 基于SVM声纹识别方面的文章 | ||||||
| Campbell W M, Sturim D E, Reynolds D A, et al. SVM based speaker verification using a GMM supervector kernel and NAP variability compensation[C]//Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on. IEEE, 2006, 1: I-I. | 龙艳花（上海师范大学） | 基于SVM声纹识别方面的文章 | ||||||
| Douglas A. Reynolds, Thomas F. Quatieri, and Robert B. Dunn, Speaker Verfication Using Adapted Gaussian Mixture Models | 洪青阳（厦门大学） | 说话人识别，GMM-UBM | ||||||
| Najim Dehak, Patrick Kenny, R′eda Dehak, Pierre Dumouchel, and Pierre Ouellet, Front-End Factor Analysis For Speaker Verification | 洪青阳（厦门大学） | 说话人识别，i-vector | ||||||
| Analysis of I-vector Length Normalization in Speaker Recognition Systems Daniel Garcia-Romero and Carol Y. Espy-Wilson | 许敏强（阿里巴巴） | length normalization + PLDA | ||||||
| Within-Class Covariance Normalization for SVM-based Speaker Recognition Andrew O. Hatch, Sachin Kajarekar, and Andreas Stolcke | 许敏强（阿里巴巴） | speaker方向,这个论文的方法，不仅可以用于speaker，还可以推广到图像识别、分类等领域，效果明显 | ||||||
| Silke M Witt, Steve J Young, Phone-level pronunciation scoring and assessment for interactive language learning, 2000, Speech Communication | 黄浩（新疆大学） | GOP以及错误检测 | ||||||
| S. M. Witt.Use of Speech Recognition in Computer-assisted Language learning | 杨嵩（驰声科技） | 语音评测 | ||||||
| Andrew J. Hunt, Alan W. Black, Unit selection in a concatenative speech synthesis system using a large speech database, ICASSP1996. | 康永国（百度） | 拼接语音合成的典型工作 | ||||||
| Zen H, Tokuda K, Black A W. Statistical parametric speech synthesis[J]. Speech Communication, 2009, 51(11): 1039-1064. | 凌振华（中科大） | HMM统计参数语音合成 | ||||||
| Tokuda K, Nankaku Y, Toda T, et al. Speech synthesis based on hidden Markov models[J]. Proceedings of the IEEE, 2013, 101(5): 1234-1252. | 凌振华（中科大） | HMM统计参数语音合成 | ||||||
| Zee, H., Senior, A., Schuster. M. 2013, Statistical parametric speech sythesis uusing deep neural networks | 吴君如（华东师大），康永国（百度） | |||||||
| parameter generation algorithms for HMM-based speech synthesis, Proc. of ICASSP, pp.1315-1318, June 2000 | 康永国（百度） | HMM统计参数语音合成 | ||||||
| S. King, "A reading list of recent advances in speech synthesis", Proc. ICPhS2015. | 武执正（爱丁堡大学），杨鹏（百度） | https://www.internationalphoneticassociation.org/icphs-proceedings/ICPhS2015/Papers/ICPHS1043.pdf | ||||||
| statistical parametric speech synthesis，Heiga Zen | 杨辰雨（新加坡I2R） | 语音合成声学建模方面 | ||||||
| ZH Ling:Deep Learning for Acoustic Modeling in Parametric Speech Generation.《Signal Processing Magazine IEEE》, 2015, 32(3):35-52 | 杨辰雨（新加坡I2R） | 语音合成声学建模方面 | ||||||
| Xu Yi. Separation of functional components of tone and intonation from observed F0 patterns. | 林怡亭（Nuance）,李雅（中科院自动化所） | |||||||
| automatic segmentation of speech into sentences and topics. Speech communication, 32(1), 127-154. | 陈磊（ETS语音评测），谢磊（西工大） | SRI使用Prosody信息做语音结构化切分的工作，Google Scholar 引用 430 | ||||||
| ToBI: A standard for labeling English prosody | 杨辰雨（新加坡I2R） | 中英文韵律标注 | ||||||
| chinese prosody and prosodic labeling of spontaneous speech | 杨辰雨（新加坡I2R） | C-ToBI 3.0 | ||||||
| Shrikanth S. Narayanan and Panayiotis Georgiou, Behavioral Signal Processing: Deriving Human Behavioral Informatics from Speech and Language (2013), in: Proceedings of IEEE, 101:5(1203 - 1233) | 李明（中山大学） | 语音及多模态行为信号分析的综述性paper 推荐给做情感计算和行为分析这一领域的人 | ||||||
| Levelt. W, Roelofs. A, 1999, A theory of lexical access in speech production. | 吴君如（华东师大） | 语言认知领域，本文为心理语言学界到90年代末为止，对人类语言产生心理过程实证研究结果及机制探讨最全面的总结，不少计算模型都以重现本文列举的效应为目标 | ||||||
| A Highly Robust Audio Fingerprinting System，Pilips 的Jaap Haitsma | 朱磊（芋头科技） | audio fingerprint | ||||||
| Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean. Distributed Representations of Words and Phrases and their Compositionality. In Proceedings of NIPS, 2013. | 陈谐(剑桥） | |||||||
| Dzmitry Bahdanau, KyungHyun Cho, Yoshua Bengio, Neural Machine Translation By Jointly Learning To Align And Translate | 肖雄（南洋理工大学）,徐海华（南洋理工大学） | attention model for MT | http://arxiv.org/pdf/1409.0473.pdf | |||||
| Book and Thesis | ||||||||
| 《Spoken Language Processing: A Guide to Theory, Algorithm, and System Development》 黄学东 | 何伟（中国传媒大学）钱彦旻（上海交大） | |||||||
| 自然语言处理综论，daniel jurafsky | 汪淼淼（阿里巴巴） | |||||||
| Speech enhancement theory and practice, Philipos C. Loizou, | 张学良（内蒙古大学） | 语音增强的书 | ||||||
| Statistical methods for speech recognition, Jenilek， | 金琴（中国人民大学）经典教材 | |||||||
| Hidden Markov Models for Speech Recognition (Edinburgh University Press 1990) 穆向禹（百度） | ||||||||
| Machine Learning Paradigms for Speech Recognition | 卢鲤（腾讯） | 用机器学习的观点看语音识别，框架非常清晰 | ||||||
| 《实用语音识别基础》，国防工业出版社 | 王晶（北理工） | |||||||
| Text-to-speech synthesis, Paul Taylor, University of Cambridge | 黄东延（新加坡） | 书对text-to-speech 怎样work 给了详细深入的解释 | ||||||
| A course in phonetics, Ladefoged | 冯卉（天津大学） | 群内多人推荐 | ||||||
| A Course in Phonetics (7th Ed.). P. Ladeforged & K. Johnson (2015). Cengage Learning. | 顾文涛（南京师范大学） | 很好的入门级教科书 | ||||||
| Acoustics and Auditory Phonetics (3rd Ed.).K. Johnson (2012). Wiley-Blackwell. | 顾文涛（南京师范大学） | |||||||
| Articulatory Phonetics. B. Gick, I. Wilson, & D. Derrick (2013). Wiley-Blackwell. | 顾文涛（南京师范大学） | |||||||
| 实验语音学概要，实验语音学概要 修订版 | 熊子瑜（语言所），时秀娟（天津师大） | |||||||
| 实验语音学基础教程，孔江平 | 时秀娟（天津师大） | |||||||
| Phonetics，Reetz & Jongman | 孙锐欣（华东师大）国内李爱军老师等在翻译中文版 | |||||||
| 《实验语音学概要》吴宗济 | 王磊（音乐雷达）等 | 语音合成--音韵学 | ||||||
| 自然语言处理综论，Daniel Jurafsky | ||||||||
| Duda的 Pattern Classification 第二版，有中文版 | 谢凌云（中国传媒大学） | 模式识别 | ||||||
| 《现代汉语音典》蔡莲红、孔江平 | 王愈（捷通华声） | |||||||
| 《汉语语调实验研究》2012年，作者林茂灿 | 李爱军（社科院语言所） | |||||||
| 在英语语调理论AM基础上对汉语语调的研究 | ||||||||
| Sun-Ah Jun写的prosodic topology，中科院声学所吕士楠老师将之翻译为中文版《韵律类型学》 | 郝玉峰（海天瑞声） | 多语言韵律标注 | ||||||
| Kenneth N. Stevens的Acoustic Phonetics | 解炎陆（北京语言大学） | 从acoustic的角度阐述了各种发音的特征，原版太贵，希望国内能出版。 | ||||||
| "Ladefoged《世界语音》 | 时秀娟（天津师大） | http://mp.weixin.qq.com/s?__biz=MzA3OTI3MjEzNg==&mid=400341406&idx=2&sn=484d61f4ab9dcfe7bb613bb8d119a161&scene=1&srcid=1104uQiKdYcy75BYTBJ9xA99#rd | ||||||
| Theory and Applications of Digital Speech Processing, Lawrence Rabiner， | 党建武（天津大学） | |||||||
| T. F. Quatieri, Discrete-time speech signal processing（英文版） | 王晶（北理工） | 经典的语音信号处理课程教材 | ||||||
| 《信号与系统》奥本海《Signals and Systems》Alan V. Oppenheim | 陈谐(剑桥） | |||||||
| Microphone Arrays: Signal Processing Techniques and Applications (Digital Signal Processing) by Michael Brandstein, Darren Ward, Springer, 2001. | 李军锋（中科院声学所） | 语音信号处理领域 | ||||||
| Pattern recognition and meachine learning | 王东（清华） | 机器学习领域经典大作 | ||||||
| Machine learning a probabilistic perspective，machine learning algorithmic perspective | 卢鲤（腾讯） | |||||||
| Introduction to statistical pattern recognition. Keinosuke Fukunaga | 朱璇（三星北京研究院） | 模式识别 这本书对于特征空间的表述非常清晰，深入浅出，很适合初学者。 | ||||||
| An introduction for support vector machine | 朱璇（三星北京研究院） | svm | ||||||
| 步尚全《基础泛函分析》 | 邓侃(思昂教育） | 泛函 | ||||||
| <<测度论与概率论基础>>，北京大学出版社 | 明怀平（新加坡I2R） | |||||||
| Daniel Povey, "Discriminative Training for Large Vocabulary Speech Recognition," PhD thesis, Cambridge University Engineering Dept, 2003 | 俞凯（上海交大） | 鉴别性训练，博士论文 | ||||||
| 语境相关的声学模型和搜索策略的研究，高升，中国科学院博士论文，2001 | 李宏言（阿里巴巴） | 国内早期lvcsr的力作 | ||||||
| Tools | ||||||||
| HTK book | ||||||||
| Kaldi | ||||||||
| Praat | ||||||||
| Theano | ||||||||
| CNTK | ||||||||
| RNNLIB | ||||||||
| Eesen | CTC toolkit | https://github.com/yajiemiao/eesen | - | Video & online course | ||||
| Deep Learning Summer School, Montreal 2015 | http://videolectures.net/deeplearning2015_montreal/ | |||||||
| INTRODUCTION TO DIGITAL FILTERS | 王愈（捷通华声） | 一套在线的信号处理教程,深入浅出地讲解了信号分析处理的基础知识，并结合Matlab常用的信号系统库函数——如freqz——推导讲解简明透彻 | https://ccrma.stanford.edu/~jos/filters/ | |||||
| 九州语言网 | 李爱军（社科院语言所） | |||||||
| 对汉语方言语法、语音感兴趣的，可以访问熊子瑜负责的语言所在建九州语言网 | http://9zhou.phonetics.org.cn/ |
