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Impact of Naturalistic Field Acoustic Environments on Forensic Text-independent Speaker Verification System ...
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Speech variability: A cross-language study on acoustic variations of speaking versus untrained singing
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In: J Acoust Soc Am (2020)
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A speech perturbation strategy based on “Lombard effect” for enhanced intelligibility for cochlear implant listeners
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In: J Acoust Soc Am (2020)
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Leveraging native language information for improved accented speech recognition ...
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Quantifying Cochlear Implant Users’ Ability for Speaker Identification using CI Auditory Stimuli
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In: Interspeech (2019)
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Advancing Multi-Accented LSTM-CTC Speech Recognition using a Domain Specific Student-Teacher Learning Paradigm ...
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UTD-CRSS Submission for MGB-3 Arabic Dialect Identification: Front-end and Back-end Advancements on Broadcast Speech ...
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Robust Harmonic Features for Classification-Based Pitch Estimation
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The Lombard effect observed in speech produced by cochlear implant users in noisy environments: A naturalistic study
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KU-ISPL Language Recognition System for NIST 2015 i-Vector Machine Learning Challenge ...
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Multivariate cepstral feature compensation on band-limited data for robust speech recognition
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Evaluation and analysis of whispered speech for cochlear implant users: Gender identification and intelligibility
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Evaluation of the importance of time-frequency contributions to speech intelligibility in noise
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