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Hits 1 – 17 of 17

1
A Complementary Joint Training Approach Using Unpaired Speech and Text for Low-Resource Automatic Speech Recognition ...
Du, Ye-Qian; Zhang, Jie; Zhu, Qiu-Shi. - : arXiv, 2022
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2
XLST: Cross-lingual Self-training to Learn Multilingual Representation for Low Resource Speech Recognition ...
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3
Recognition-Synthesis Based Non-Parallel Voice Conversion with Adversarial Learning ...
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4
Improving Sequence-to-Sequence Acoustic Modeling by Adding Text-Supervision ...
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5
LID-senones and their statistics for language identification
Jin, Ma; Song, Yan; McLoughlin, Ian Vince. - : Institute of Electrical and Electronics Engineers, 2017
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6
A human neurodevelopmental model for Williams syndrome.
In: Nature, vol 536, iss 7616 (2016)
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7
A human neurodevelopmental model for Williams syndrome.
In: Nature, vol 536, iss 7616 (2016)
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8
Improvements on Deep Bottleneck Network based I-Vector Representation for Spoken Language Identification
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9
Deep Bottleneck Feature for Image Classification
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10
HMM-based unit selection speech synthesis using log likelihood ratios derived from perceptual data
In: Speech communication. - Amsterdam [u.a.] : Elsevier 63 (2014), 27-37
OLC Linguistik
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11
Deep Bottleneck Features for Spoken Language Identification
Jiang, Bing; Song, Yan; Wei, Si. - : Public Library of Science, 2014
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12
Whisper-to-speech conversion using restricted Boltzmann machine arrays
Li, Jing-jie; McLoughlin, Ian Vince; Dai, Li-Rong. - : IET Digital Library, 2014
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13
Deep bottleneck features for spoken language identification
Jiang, Bing; Song, Yan; Wei, Si. - : Public Library of Science, 2014
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14
Minimum Kullback-Leibler divergence parameter generation for HMM-based speech synthesis
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 20 (2012) 5, 1492-1502
BLLDB
OLC Linguistik
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15
Trust region-based optimization for maximum mutual information estimation of HMMs in speech recognition
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 19 (2011) 8, 2474-2485
BLLDB
OLC Linguistik
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16
Intelligence in Williams Syndrome is related to STX1A, which encodes a component of the presynaptic SNARE complex.
In: PloS one, vol 5, iss 4 (2010)
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17
Intelligence in Williams Syndrome Is Related to STX1A, Which Encodes a Component of the Presynaptic SNARE Complex
Gao, Michael C.; Bellugi, Ursula; Dai, Li. - : Public Library of Science, 2010
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