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1
Classifying Alzheimer's Disease Using Audio and Text-Based Representations of Speech
In: Frontiers (2020)
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2
Unsupervised learning of spoken language with visual context
In: Neural Information Processing Systems (NIPS) (2019)
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3
Learning Word-Like Units from Joint Audio-Visual Analysis ...
Harwath, David; Glass, James R.. - : arXiv, 2017
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4
Unsupervised Lexicon Discovery from Acoustic Input
In: Transactions of the Association for Computational Linguistics (2015)
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5
Learning lexicons from speech using a pronunciation mixture model
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 21 (2013) 2, 357-366
OLC Linguistik
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6
Combining missing-feature theory, speech enhancement, and speaker-dependent/-independent modeling for speech separation
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 24 (2010) 1, 67-76
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7
Combining missing-feature theory, speech enhancement, and speaker-dependent/-independent modeling for speech separation
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 24 (2010) 1, 67-76
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8
Speech rhythm guided syllable nuclei detection
In: IEEE (2009)
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9
On the phonetic information in ultrasonic microphone signals
In: IEEE (2009)
Abstract: We study the phonetic information in the signal from an ultrasonic "microphone", a device that emits an ultrasonic wave toward a speaker and receives the reflected, Doppler-shifted signal. This can be used in addition to audio to improve automatic speech recognition. This work is an effort to better understand the ultrasonic signal, and potentially to determine a set of natural sub-word units. We present classification and clustering experiments on CVC and VCV sequences in speaker-dependent and multi-speaker settings. Using a set of ultrasonic spectral features and diagonal Gaussian models, it is possible to distinguish all consonants and most vowels. When clustering the confusion data, the consonant clusters mostly correspond to places and manners of articulation; the vowel data roughly clusters into high, low, and rounded vowels. ; National Institutes of Health (U.S.) (Training Grant T32 DC000038) ; Henry Luce Foundation. Clare Booth Luce Fellowship
URL: http://hdl.handle.net/1721.1/59850
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10
Multistream Articulatory Feature-Based Models for Visual Speech Recognition
In: IEEE (2009)
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11
Research Developments and Directions in Speech Recognition and Understanding, Part 1
In: IEEE (2009)
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12
Unsupervised pattern discovery in speech
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 16 (2008) 1, 186-197
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13
An implementation of rational wavelets and filter design for phonetic classification
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 15 (2007) 3, 939-948
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14
Robust speaker recognition in noisy conditions
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 15 (2007) 5, 1711-1723
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15
Mathematical foundations of speech and language processing
Weber, Katrin (Mitarb.); Kedem, Benjamin (Mitarb.); Khudanpur, Sanjeev (Hrsg.). - New York [u.a.] : Springer, 2004
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UB Frankfurt Linguistik
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16
A probabilistic framework for segment-based speech recognition
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 17 (2003) 2, 137-152
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17
New computational paradigms for acoustic modeling in speech recognition
Russell, Martin J. (Hrsg.); Bilmes, Jeff A. (Hrsg.); Lefevre, Fabrice (Mitarb.)...
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 17 (2003) 2-3, 107-305
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18
Finding Acoustic Regularities in Speech: Applications to Phonetic Recognition
In: DTIC AND NTIS (1988)
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19
Finding Acoustic Regularities in Speech: Applications to Phonetic Recognition.
In: DTIC AND NTIS (1988)
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20
Speech Communication
Stevens, Kenneth N.; Allen, Jonathan; Halle, Morris. - : Research Laboratory of Electronics (RLE) at the Massachusetts Institute of Technology (MIT), 1987
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