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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 ...
Abstract: Recognition of accented speech is a long-standing challenge for automatic speech recognition (ASR) systems, given the increasing worldwide population of bi-lingual speakers with English as their second language. If we consider foreign-accented speech as an interpolation of the native language (L1) and English (L2), using a model that can simultaneously address both languages would perform better at the acoustic level for accented speech. In this study, we explore how an end-to-end recurrent neural network (RNN) trained system with English and native languages (Spanish and Indian languages) could leverage data of native languages to improve performance for accented English speech. To this end, we examine pre-training with native languages, as well as multi-task learning (MTL) in which the main task is trained with native English and the secondary task is trained with Spanish or Indian Languages. We show that the proposed MTL model performs better than the pre-training approach and outperforms a baseline model ... : Accepted at Interspeech 2018 ...
Keyword: Audio and Speech Processing eess.AS; FOS Electrical engineering, electronic engineering, information engineering
URL: https://dx.doi.org/10.48550/arxiv.1904.09038
https://arxiv.org/abs/1904.09038
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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 ...
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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
Robust Speech Processing & Recognition: Speaker ID, Language ID, Speech Recognition/Keyword Spotting, Diarization/Co-Channel/Environmental Characterization, Speaker State Assessment
In: DTIC (2015)
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12
Multivariate cepstral feature compensation on band-limited data for robust speech recognition
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13
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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14
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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15
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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16
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
OLC Linguistik
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17
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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18
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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19
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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20
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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