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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 7 of 7 1 A Hierarchical Model for Spoken Language Recognition ... Ferrer, Luciana; Castan, Diego; McLaren, Mitchell. - : arXiv, 2022 BASE Show details 2 Human and computer estimations of Predictability of words in written language Bianchi, Bruno; Bengolea Monzón, Gastón; Ferrer, Luciana. - : Nature Publishing Group UK, 2020 BASE Show details 3 Joint PLDA for Simultaneous Modeling of Two Factors ... Ferrer, Luciana; McLaren, Mitchell. - : arXiv, 2018 BASE Show details 4 A Novel Scheme for Speaker Recognition Using a Phonetically-Aware Deep Neural Network Lei, Yun; Scheffer, Nicolas; Ferrer, Luciana... In: DTIC (2014) BASE Show details 5 The SRI NIST 2010 Speaker Recognition Evaluation System (PREPRINT) Scheffer, Nicolas; Ferrer, Luciana; Graciarena, Martin; Kajarekar, Sachin; Shriberg, Elizabeth; Stolcke, Andreas In: DTIC (2011) Abstract: The SRI speaker recognition system for the 2010 NIST speaker recognition evaluation (SRE) incorporates multiple subsystemswith a variety of features and modeling techniques. We describe our strategy for this year's evaluation, from the use of speech recognition and speech segmentation to the individual system descriptions as well as the final combination. Our results show that under most conditions, the cepstral systems tend to perform the best, but that other, non-cepstral systems have the most complementarity. The combination of several subsystems with the use of adequate side information gives a 35% improvement on the standard telephone condition. We also show that a constrained cepstral systembased on nasal syllables tends to be more robust to vocal effort variabilities. ; To be presented at the International Conference on Acoustics, Speech, and Signal Processing (ICASSP) to be held in Prague, Czech Republic 22-27 May 2011. The original document contains color images. Keyword: *MATHEMATICAL MODELS; *SPEECH RECOGNITION; *VOICE COMMUNICATIONS; ASR(AUTOMATIC SPEAKER RECOGNITION); DATA FUSION; DCF(DECISION COST FUNCTIONS); HMM(HIDDEN MARKOV MODELS); Human Factors Engineering & Man Machine System; Linguistics; MARKOV PROCESSES; MESSAGE PROCESSING; MLLR(MAXIMUM LIKELIHOOD LINEAR REGRESSION); NATURAL LANGUAGE; NIST(NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY); Numerical Mathematics; PROSODY; SENSOR FUSION; SPEAKER RECOGNITION; SRE(SPEAKER RECOGNITION EVALUATION); SYMPOSIA; SYSTEM FUSION; Voice Communications; VOICE RECOGNITION URL: http://www.dtic.mil/docs/citations/ADA539628 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA539628 BASE Hide details 6 Speaker recognition with session variability normalization based on MLLR adaptation transforms Kajarekar, Sachin; Ferrer, Luciana; Stolcke, Andreas... In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 15 (2007) 7, 1987-1998 BLLDB OLC Linguistik Show details 7 Modeling prosodic feature sequences for speaker recognition Stolcke, Andreas; Venkataraman, Anand; Shriberg, Elizabeth E.... In: Speech communication. - Amsterdam [u.a.] : Elsevier 46 (2005) 3-4, 455-472 BLLDB OLC Linguistik Show details

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