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1
Impact of Naturalistic Field Acoustic Environments on Forensic Text-independent Speaker Verification System ...
Wang, Zhenyu; Hansen, John H. L.. - : arXiv, 2022
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2
Speech variability: A cross-language study on acoustic variations of speaking versus untrained singing
In: J Acoust Soc Am (2020)
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3
A speech perturbation strategy based on “Lombard effect” for enhanced intelligibility for cochlear implant listeners
In: J Acoust Soc Am (2020)
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4
Leveraging native language information for improved accented speech recognition ...
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5
Quantifying Cochlear Implant Users’ Ability for Speaker Identification using CI Auditory Stimuli
In: Interspeech (2019)
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6
Advancing Multi-Accented LSTM-CTC Speech Recognition using a Domain Specific Student-Teacher Learning Paradigm ...
Abstract: Non-native speech causes automatic speech recognition systems to degrade in performance. Past strategies to address this challenge have considered model adaptation, accent classification with a model selection, alternate pronunciation lexicon, etc. In this study, we consider a recurrent neural network (RNN) with connectionist temporal classification (CTC) cost function trained on multi-accent English data including US (Native), Indian and Hispanic accents. We exploit dark knowledge from a model trained with the multi-accent data to train student models under the guidance of both a teacher model and CTC cost of target transcription. We show that transferring knowledge from a single RNN-CTC trained model toward a student model, yields better performance than the stand-alone teacher model. Since the outputs of different trained CTC models are not necessarily aligned, it is not possible to simply use an ensemble of CTC teacher models. To address this problem, we train accent specific models under the guidance of ... : Accepted at SLT 2018 ...
Keyword: Audio and Speech Processing eess.AS; FOS Electrical engineering, electronic engineering, information engineering
URL: https://dx.doi.org/10.48550/arxiv.1809.06833
https://arxiv.org/abs/1809.06833
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7
UTD-CRSS Submission for MGB-3 Arabic Dialect Identification: Front-end and Back-end Advancements on Broadcast Speech ...
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8
Robust Harmonic Features for Classification-Based Pitch Estimation
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9
The Lombard effect observed in speech produced by cochlear implant users in noisy environments: A naturalistic study
Lee, Jaewook; Ali, Hussnain; Ziaei, Ali. - : Acoustical Society of America, 2017
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10
KU-ISPL Language Recognition System for NIST 2015 i-Vector Machine Learning Challenge ...
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11
Multivariate cepstral feature compensation on band-limited data for robust speech recognition
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12
Evaluation and analysis of whispered speech for cochlear implant users: Gender identification and intelligibility
Hazrati, Oldooz; Ali, Hussnain; Hansen, John H. L.. - : Acoustical Society of America, 2015
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13
Environment mismatch compensation using average eigenspace-based methods for robust speech recognition
In: International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ. 17 (2014) 4, 353-364
OLC Linguistik
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14
Car noise verification and applications
In: International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ. 17 (2014) 2, 167-181
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15
Effective background data selection for SVM-based speaker recognition with unseen test environments: more is not always better
In: International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ. 17 (2014) 3, 211-221
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16
Evaluation of the importance of time-frequency contributions to speech intelligibility in noise
Yu, Chengzhu; Wójcicki, Kamil K.; Loizou, Philipos C.. - : Acoustical Society of America, 2014
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17
Environment dependent noise tracking for speech enhancement
In: International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ. 16 (2013) 3, 303-312
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18
TEO-based speaker stress assessment using hybrid classification and tracking schemes
In: International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ. 15 (2012) 3, 295-311
BLLDB
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19
Automatic analysis of Mandarin accented English using phonological features
In: Speech communication. - Amsterdam [u.a.] : Elsevier 54 (2012) 1, 40-54
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20
A study on universal background model training in speaker verification
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 19 (2011) 7, 1890-1899
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