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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 16 of 16 1 Detection and Evaluation of human and machine generated speech in spoofing attacks on automatic speaker verification systems ... Gao, Yang; Lian, Jiachen; Raj, Bhiksha. - : arXiv, 2020 BASE Show details 2 The phonetic bases of vocal expressed emotion: natural versus acted ... Dhamyal, Hira; Memon, Shahan Ali; Raj, Bhiksha. - : arXiv, 2019 BASE Show details 3 Voice Impersonation using Generative Adversarial Networks ... Gao, Yang; Singh, Rita; Raj, Bhiksha. - : arXiv, 2018 Abstract: Voice impersonation is not the same as voice transformation, although the latter is an essential element of it. In voice impersonation, the resultant voice must convincingly convey the impression of having been naturally produced by the target speaker, mimicking not only the pitch and other perceivable signal qualities, but also the style of the target speaker. In this paper, we propose a novel neural network based speech quality- and style- mimicry framework for the synthesis of impersonated voices. The framework is built upon a fast and accurate generative adversarial network model. Given spectrographic representations of source and target speakers' voices, the model learns to mimic the target speaker's voice quality and style, regardless of the linguistic content of either's voice, generating a synthetic spectrogram from which the time domain signal is reconstructed using the Griffin-Lim method. In effect, this model reframes the well-known problem of style-transfer for images as the problem of ... : Accepted by 2018 International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2018) ... Keyword: Audio and Speech Processing eess.AS; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Sound cs.SD URL: https://dx.doi.org/10.48550/arxiv.1802.06840 https://arxiv.org/abs/1802.06840 BASE Hide details 4 AudioPairBank: Towards A Large-Scale Tag-Pair-Based Audio Content Analysis ... Sager, Sebastian; Elizalde, Benjamin; Borth, Damian. - : arXiv, 2016 BASE Show details 5 Binary Sparse Coding of Convolutive Mixtures for Sound Localization and Separation via Spatialization Asaei, Afsaneh; Taghizadeh, Mohammadjavad; Haghighatshoar, Saeid... In: http://infoscience.epfl.ch/record/211543 (2015) BASE Show details 6 Privacy-preserving speaker verification and identification using gaussian mixture models Pathak, Manas A.; Raj, Bhiksha In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 21 (2013) 2, 397-406 OLC Linguistik Show details 7 Techniques for noise robustness in automatic speech recognition Singh, Rita (Hrsg.); Raj, Bhiksha (Hrsg.); Virtanen, Tuomas (Hrsg.). - Chichester : Wiley, 2013 BLLDB UB Frankfurt Linguistik Show details 8 Learning-based auditory encoding for robust speech recognition Stern, Richard M.; Bosco Chiu, Yu-Hsiang; Raj, Bhiksha In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 20 (2012) 3, 900-914 BLLDB OLC Linguistik Show details 9 Preface Heckmann, Martin; Raj, Bhiksha; Smaragdis, Paris In: Speech communication. - Amsterdam [u.a.] : Elsevier 53 (2011) 5, 591 OLC Linguistik Show details 10 Soft mask methods for single-channel speaker separation Raj, Bhiksha; Reddy, Aarthi M. In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 15 (2007) 6, 1766-1776 BLLDB OLC Linguistik Show details 11 The recognition and organization of real-world sound Ellis, D. P. W. (Hrsg.); Cooke, M.P. (Hrsg.); Raj, Bhiksha (Mitarb.)... In: Speech communication. - Amsterdam [u.a.] : Elsevier 43 (2004) 4, 273-393 BLLDB Show details 12 Classifier-based non-linear projection for adaptive endpointing of continuous speech Raj, Bhiksha; Singh, Rita In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 17 (2003) 1, 5-26 OLC Linguistik Show details 13 Multi-channel Source Separation by Beamforming Trained with Factorial HMMs Reyes-Gomez, Manuel; Raj, Bhiksha; Ellis, Daniel P. W.. - : IEEE, 2003 BASE Show details 14 Automatic generation of subword units for speech recognition systems Singh, Rita; Raj, Bhiksha; Stern, Richard M. In: Institute of Electrical and Electronics Engineers. IEEE transactions on speech and audio processing. - New York, NY : Inst. 10 (2002) 2, 89-99 BLLDB Show details 15 Data-driven environmental compensation for speech recognition: Aunified approach Moreno, Pedro J.; Raj, Bhiksha; Stern, Richard M. In: Speech communication. - Amsterdam [u.a.] : Elsevier 24 (1998) 4, 267-286 OLC Linguistik Show details 16 Data-driven environmental compensation for speech recognition : a unified approach Moreno, Pedro J.; Raj, Bhiksha; Stern, Richard M. In: Speech communication. - Amsterdam [u.a.] : Elsevier 24 (1998) 4, 267-285 BLLDB Show details

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