Training of reduced-rank linear transformations for multi-layer polynomial acoustic features for speech recognition (English)
- New search for: Tahir, Muhammad Ali
- New search for: Huang, Heyun
- New search for: Zeyer, Albert
- New search for: Schlüter, Ralf
- New search for: Ney, Hermann
- New search for: Tahir, Muhammad Ali
- New search for: Huang, Heyun
- New search for: Zeyer, Albert
- New search for: Schlüter, Ralf
- New search for: Ney, Hermann
In:
Speech Communication
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110
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56-63
;
2019
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ISSN:
- Article (Journal) / Electronic Resource
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Title:Training of reduced-rank linear transformations for multi-layer polynomial acoustic features for speech recognition
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Contributors:Tahir, Muhammad Ali ( author ) / Huang, Heyun ( author ) / Zeyer, Albert ( author ) / Schlüter, Ralf ( author ) / Ney, Hermann ( author )
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Published in:Speech Communication ; 110 ; 56-63
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Publisher:
- New search for: Elsevier B.V.
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Publication date:2019-03-30
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Size:8 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 110
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Improving multilingual speech emotion recognition by combining acoustic features in a three-layer modelLi, Xingfeng / Akagi, Masato et al. | 2019
- 13
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Output-based speech quality assessment using autoencoder and support vector regressionWang, Jing / Shan, Yahui / Xie, Xiang / Kuang, Jingming et al. | 2019
- 21
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Speech enhancement using ultrasonic doppler sonarLee, Ki-Seung et al. | 2019
- 33
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Speaker recognition using PCA-based feature transformationAhmed, Ahmed Isam / Chiverton, John P. / Ndzi, David L. / Becerra, Victor M. et al. | 2019
- 47
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Dysarthric speech classification from coded telephone speech using glottal featuresNarendra, N.P. / Alku, Paavo et al. | 2019
- 56
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Training of reduced-rank linear transformations for multi-layer polynomial acoustic features for speech recognitionTahir, Muhammad Ali / Huang, Heyun / Zeyer, Albert / Schlüter, Ralf / Ney, Hermann et al. | 2019
- 64
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Normal-to-Lombard adaptation of speech synthesis using long short-term memory recurrent neural networksBollepalli, Bajibabu / Juvela, Lauri / Airaksinen, Manu / Valentini-Botinhao, Cassia / Alku, Paavo et al. | 2019
- 76
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IITG-HingCoS corpus: A Hinglish code-switching database for automatic speech recognitionGanji, Sreeram / Dhawan, Kunal / Sinha, Rohit et al. | 2019
- 90
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Speech-driven animation with meaningful behaviorsSadoughi, Najmeh / Busso, Carlos et al. | 2019
- 101
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Evaluation of Nuance Forensics 9.2 and 11.1 under conditions reflecting those of a real forensic voice comparison case (forensic_eval_01)Jessen, Michael / Meir, Gur / Solewicz, Yosef A. et al. | 2019
- 108
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How modeling entrance loss and flow separation in a two-mass model affects the oscillation and synthesis qualityBirkholz, Peter / Pape, Daniel et al. | 2019
- ii
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Editorial Board| 2017