Speaker recognition based on idiolectal differences between speakers

Keywords

Computer science, Speech recognition, Speaker recognition, Natural language processing, Artificial intelligence

References

• Applied Bayesian and classical inference : the case of the Federalist papersFrederick Mosteller, David K. Wallace — 1984
• Inference and Disputed Authorship: The FederalistSameh Khamis, Frederick Mosteller, David L. Wallace — 1966

Cited by

• SVM modeling of "SNERF-grams" for speaker recognitionElizabeth Shriberg, Luciana Ferrer, Anand Venkataraman — 2004
• Spectral Features for Automatic Text-Independent Speaker RecognitionTomi Kinnunen — 2003
• Decisión threshold estimation and model quality evaluation techniques for speaker verification.J. Saeta — 2005
• Modeling high-level information by using Gaussian mixture correlation for GMM-UBM based speaker recognitionJing Deng, Thomas Fang Zheng, Zhanjiang Song — 2005
• Word-conditioned HMM supervectors for speaker recognitionHoward Lei, Nikki Mirghafori — 2007
• The IIR NIST 2006 Speaker Recognition System: Fusion of Acoustic and Tokenization FeaturesRong Tong, Bin Ma, Kong Aik Lee — 2006
• The case for automatic higher-level features in forensic speaker recognitionElizabeth Shriberg, Andreas Stolcke — 2008
• Combining speaker and speech recognition systemsLarry Heck, Dominique Genoud — 2002
• Jitter and shimmer measurements for speaker recognitionMireia Farrús, Javier Hernando, Pascual Ejarque — 2007
• A Comparison of Latent Variable Models For Conversation AnalysisSourish Chaudhuri, Bhiksha Raj — 2011
• Age verification using a hybrid speech processing approachRon M. Hecht, Omer Hezroni, Amit Kumar Manna — 2009
• Can conversational word usage be used to predict speaker demographics?Dan Gillick — 2010
• On the relationship between phonetic modeling precision and phonetic speaker recognition accuracyDoroteo T. Toledano, Carlos Fombella, Joaquin Gonzalez Rodriguez — 2005
• Effects of the phonological relevance in speaker verificationYanhua Long, Lirong Dai, B. Ma — 2010
• Maximum-likelihood linear regression coefficients as features for speaker recognitionMarc Ferràs Font — 2009
• Phonetic speaker identificationQin Jin, Tanja Schultz, Alex Waibel — 2002
• Information bottleneck based age verificationRon M. Hecht, Omer Hezroni, Amit Kumar Manna — 2009
• Finding Difficult Speakers in Automatic Speaker RecognitionLara Lynn Stoll — 2011
• Fusing high- and low-level features for speaker recognitionJoseph P. Campbell, Douglas A. Reynolds, R.B. Dunn — 2003
• Effects of audio and ASR quality on cepstral and high-level speaker verification systemsAndreas Stolcke, Martin Graciarena, Luciana Ferrer — 2012

Related papers

• Text-dependent speaker recognition using speaker specific compensationSrivatsan Laxman, P. S. Sastry — 2003
• Target Speaker Recognition in The Cocktail PartyDae-Jin Jung, Sunyoung Cho, Tae Yoon Chun — 2022
• A Review on Speech Recognition MethodsRam Paul, Rajender Kr. Beniwal, Rinku Kumar — 2018
• Integrating speaker identification and learning with adaptive speech recognitionGernot A. Fink, Thomas Plötz — 2004
• Multi-speaker adaptation for robust speech recognition under ubiquitous environmentPo-Yi Shih, Jhing-Fa Wang, Yuan-Ning Lin — 2009
• Speaker Recognition Based on Vector QuantizationHaiming Du — 2005
• Automatic Speaker Recognition:Current Approaches and Progress in Last Six DecadesNilu Singh, Alka Agrawal, Raees Ahmad Khan — 2017