Rajan, PadmanabhanKinnunen, Tomi H.Pohjalainen, JouniAlku, PaavoBimbot, F.Cerisara, C.Fougeron, C.Gravier, G.Lamel, L.Pellegrino, F.Perrier, P.2022-12-302022-12-302013Rajan, P. vd. (2013). "Using group delay functions from all-pole models for speaker recognition". 14th Annual Conference of the International Speech Communication Association (Interspeech 2013), 1-5, 2488-2492.2308-457Xhttp://faculty.iitmandi.ac.in/~padman/papers/padman_gdAllPole_interspeech2013.pdfhttp://hdl.handle.net/11452/30193Bu çalışma, 25-29 Ağustos 2013 tarihlerinde Lyon[Fransa]'da düzenlenen 14. Annual Conference of the International Speech Communication Association [Interspeech 2013]'da bildiri olarak sunulmuştur.Popular features for speech processing, such as mel-frequency cepstral coefficients (MFCCs), are derived from the short-term magnitude spectrum, whereas the phase spectrum remains unused. While the common argument to use only the magnitude spectrum is that the human ear is phase-deaf, phase-based features have remained less explored due to additional signal processing difficulties they introduce. A useful representation of the phase is the group delay function, but its robust computation remains difficult. This paper advocates the use of group delay functions derived from parametric all-pole models instead of their direct computation from the discrete Fourier transform. Using a subset of the vocal effort data in the NIST 2010 speaker recognition evaluation (SRE) corpus, we show that group delay features derived via parametric all-pole models improve recognition accuracy, especially under high vocal effort. Additionally, the group delay features provide comparable or improved accuracy over conventional magnitude-based MFCC features. Thus, the use of group delay functions derived from all-pole models provide an effective way to utilize information from the phase spectrum of speech signals.eninfo:eu-repo/semantics/openAccessComputer scienceEngineeringSpeaker verificationGroup delay functionsHigh vocal effortAdditive noiseVerificationDiscrete Fourier transformsGroup delayPolesSignal processingSpeech processingDirect computationsGroup delay functionsMel-frequency cepstral coefficientsRecognition accuracySpeaker recognitionSpeaker recognition evaluationsSpeaker verificationVocal effortsSpeech recognitionProceedings Paper0003950500010362-s2.0-84906257507248824921-5Computer science, artificial intelligenceEngineering, electrical & electronicSpeaker Verification; Speech Enhancement; Attack