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1
Brief Stimulus Exposure Fully Remediates Temporal Processing Deficits Induced by Early Hearing Loss
Green, David B.; Mattingly, Michelle M.; Ye, Yi. - : Society for Neuroscience, 2017
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2
Multi-domain joint semantic frame parsing using bi-directional RNN-LSTM,” in INTERSPEECH
In: https://www.microsoft.com/en-us/research/wp-content/uploads/2016/06/IS16_MultiJoint.pdf (2016)
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3
EVALUATION OF THE SIGNAL-TO-NOISE RATIO REQUIRED TO ACHIEVE THE SAME PERFORMANCE IN ENGLISH AND MANDARIN CHINESE
Ye, Yi. - 2014
Abstract: Difficulty communicating in noise is a common complaint for people with hearing loss. When communicating in noise, speakers increase the intensity level of their voice and alter the stress patterns of their speech not only to monitor their own voice but also to be heard by others. Speech that increases in intensity for the purpose of self-monitoring and being understood in noise is called Lombard speech. Few studies have assessed communication performance with Lombard speech in noise which closely reflects the real-life communication situation. In addition, the characteristics of Lombard speech may be different(among) languages with different characteristics and identifying features so the few results available for English listeners may not apply to listeners of other languages. This study evaluated the performance of English speaking and Mandarin Chinese speaking individuals listening to English and Mandarin Chinese speech in corresponding babble noise. Speech materials were the IEEE sentences in English and translated into Mandarin Chinese while controlling for phonological, grammatical, and contextual predictability. The sentences and 4-talker babble were recorded in a conversational manner and at a Lombard speech level produced while listening to 80 dB SPL of noise. The performance of 18 native English speakers and 18 native Mandarin Chinese speakers was evaluated. The SNR-50, the signal-to-noise level required to produce 50% performance, was the same for conversational and Lombard English indicating that there is not a particular benefit in producing Lombard speech to be understood. The reason to produce Lombard speech in English is to improve the signal-to-noise ratio in order to facilitate improved communication. The results for the Mandarin Chinese listeners revealed a benefit when producing Lombard speech with the SNR-50 for Mandarin Chinese significantly different between conversational and Lombard speech. In noisy situations where increasing vocal intensity is expected, , Mandarin Chinese listeners appear to benefit from features preserved or enhanced through Lombard speech that English listeners do not access.
URL: http://d-scholarship.pitt.edu/22332/1/Dissertation_for_ETD_8_by_Yi_YE.pdf
http://d-scholarship.pitt.edu/22332/
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4
Semi-supervised learning of semantic classes for query . . .
In: http://research.microsoft.com/pubs/101154/fp0894-wang-webpost.pdf (2009)
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5
An integrative and discriminative technique for spoken utterance classification
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 16 (2008) 6, 1207-1214
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OLC Linguistik
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6
Acero: A discriminative training framework using N-best speech recognition transcriptions and scores for spoken utterance classification
In: http://www1.icsi.berkeley.edu/~sibel/ICASSP2007SUC.pdf (2007)
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7
Rapid development of spoken language understanding grammars
In: Speech communication. - Amsterdam [u.a.] : Elsevier 48 (2006) 3-4, 390-416
BLLDB
OLC Linguistik
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8
SGStudio: Rapid Semantic Grammar Development for Spoken Language Understanding
In: http://research.microsoft.com/pubs/60452/2005-wang-acero-eurospeech.pdf (2005)
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9
Grammar Inference and Statistical Machine Translation
In: http://www.is.cs.cmu.edu/papers/speech/phd-thesis/thesis-yyw.ps.gz (1998)
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10
Decoding Algorithm in Statistical Machine Translation
In: http://www.ri.cmu.edu/pub_files/pub1/wang_ye_yi_1997_1/wang_ye_yi_1997_1.ps.gz (1997)
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11
Connectionist f-structure transfer
In: Recent advances in natural language processing. - Amsterdam : Benjamins (1997), 393-404
BLLDB
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12
Word Clustering With Parallel Spoken Language Corpora
In: http://research.microsoft.com/users/yeyiwang/publications/icslp96.ps (1996)
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13
Word Clustering With Parallel Spoken Language Corpora
In: http://www.ubka.uni-karlsruhe.de/vvv/1996/informatik/66/66.ps.gz (1996)
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14
Word clustering with parallel spoken language corpora
In: http://www.ri.cmu.edu/pub_files/pub1/wang_ye_yi_1996_1/wang_ye_yi_1996_1.pdf (1996)
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15
Word clustering with parallel spoken language corpora
In: http://research.microsoft.com/pubs/75238/1996-yeyiwang-icslp.pdf (1996)
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16
Word Clustering With Parallel Spoken Language Corpora
In: http://www.asel.udel.edu/icslp/cdrom/vol4/687/a687.pdf (1996)
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17
Improved Language Modeling By Unsupervised Acquisition Of Structure
In: ftp://ftp.cs.cmu.edu/afs/cs/project/cmt-38/ries/ftp/ries_buo_wang_icassp95.ps.gz (1995)
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18
Improved Language Modeling By Unsupervised Acquisition Of Structure
In: http://werner.ira.uka.de/papers/speech/1995/ICASSP_95_klaus_ries.ps.gz (1995)
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19
Connectionist Transfer in Machine Translation
In: http://research.microsoft.com/users/yeyiwang/publications/ranlp95.ps (1995)
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20
Dual-coding theory and connectionist lexical selection
In: http://arxiv.org/pdf/cmp-lg/9405035v1.pdf (1994)
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