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RETRIEVING SPEAKER INFORMATION FROM PERSONALIZED ACOUSTIC MODELS FOR SPEECH RECOGNITION
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In: IEEE ICASSP 2022 ; https://hal.archives-ouvertes.fr/hal-03539741 ; IEEE ICASSP 2022, 2022, Singapour, Singapore (2022)
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High-resolution speaker counting in reverberant rooms using CRNN with Ambisonics features
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In: EUSIPCO 2020 - 28th European Signal Processing Conference (EUSIPCO) ; https://hal.archives-ouvertes.fr/hal-03537323 ; EUSIPCO 2020 - 28th European Signal Processing Conference (EUSIPCO), Jan 2021, Amsterdam, Netherlands. pp.71-75, ⟨10.23919/Eusipco47968.2020.9287637⟩ (2021)
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Does bilingual input hurt? A simulation of language discrimination and clustering using i-vectors
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In: CogSci 2020 - 42nd Annual Virtual Meeting of the Cognitive Science Society ; https://hal.archives-ouvertes.fr/hal-02959451 ; CogSci 2020 - 42nd Annual Virtual Meeting of the Cognitive Science Society, Jul 2020, Toronto / Virtual, Canada (2020)
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Focus Particles and Extraction – An Experimental Investigation of German and English Focus Particles in Constructions with Leftward Association ...
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Focus Particles and Extraction – An Experimental Investigation of German and English Focus Particles in Constructions with Leftward Association
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Perceptual Associations Between Words and Speaker Age
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In: Laboratory Phonology: Journal of the Association for Laboratory Phonology; Vol 7, No 1 (2016); 18 ; 1868-6354 (2016)
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Measuring passers-by engagement with AmPost: a printed interactive audio poster
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Partikeln im komplexen Satz : Mechanismen der Lizenzierung von Modalpartikeln in Nebensätzen und Faktoren ihrer Verwendung in komplexen Sätzen : kontrastive Untersuchung am Beispiel der Partikeln ja, doch und denn im Deutschen und vedʹ [ved'], že [že] und vot [vot] im Russischen
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BLLDB
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UB Frankfurt Linguistik
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Prosody and informativity: a cross-linguistic investigation ...
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Robust Speech Processing & Recognition: Speaker ID, Language ID, Speech Recognition/Keyword Spotting, Diarization/Co-Channel/Environmental Characterization, Speaker State Assessment
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In: DTIC (2015)
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Abstract:
This study has focused on five complementary research tasks in the domain of audio, speech, language, and speaker recognition and processing. In the area of speaker recognition/identification (SID), advancements have been realized to address acoustic mismatch due to speaker overlap, language mismatch, channel/microphone/additive noise, speaker style (spoken vs. singing), speaker state (physical task stress), distant speech, and environment based (room reverberation). In language ID (LID), advancements have been shown for improved out-of-set language rejection, as well as integrated spectral and prosody based LID solutions. For co-channel and diarization, new algorithms based on gammatone subband frequency modulation was achieved. In diarization, robust speech activity detection based on a combination (Combo-SAD) feature stream was developed. New keyword spotting technology using phonological features as well as audio stream assessment for peak clipping and speaker height estimation were also developed. All algorithms were evaluated on various speech corpora from AFRL, CRSS-UTDallas, and publicly available.
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Keyword:
*SPEECH RECOGNITION; ALGORITHMS; AUDIO ANALYSIS AND INFORMATION EXTRACTION; AUDIO WAVEFORM ANALYSIS; AUTOMATIC SPEECH RECOGNITION; DIARIZATION; EXTRACTION; IDENTIFICATION; KEYWORD SPOTTING; LANGUAGE; LANGUAGE RECOGNITION; LEARNING MACHINES; MICROPHONES; NOISE(SOUND); OVERLAP SPEECH DETECTION; PE35885G; SPEAKER ANALYSIS; SPEAKER RECOGNITION; SPEECH ANALYSIS; STRESS(PHYSIOLOGY); Voice Communications; WUCOMBJUTD
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URL: http://www.dtic.mil/docs/citations/ADA623029 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA623029
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