Zobrazeno 1 - 10 of 64 pro vyhledávání: '"Michael I. Mandel"'
2
Directly Comparing the Listening Strategies of Humans and Machines
Autor: Viet Anh Trinh, Michael I. Mandel
Publikováno v: IEEE/ACM Transactions on Audio, Speech, and Language Processing. 29:312-323
Automatic speech recognition (ASR) has reached human performance on many clean speech corpora, but it remains worse than human listeners in noisy environments. This paper investigates whether this difference in performance might be due to a differenc
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::66573a09ac8df50e30c89b42ddeeaba0
https://doi.org/10.1109/taslp.2020.3040545
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3
The Bubble Noise Technique for Speech Perception Research
Autor: Vikas Grover, Jiyoung Choi, Valerie L. Shafer, Michael I. Mandel, Mengxuan Zhao
Publikováno v: Perspectives of the ASHA Special Interest Groups. 4:1653-1666
PurposeThe “bubble noise” technique has recently been introduced as a method to identify the regions in time–frequency maps (i.e., spectrograms) of speech that are especially important for listeners in speech recognition. This technique identif
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::07021dc7672790360b03577207274384
https://doi.org/10.1044/2019_pers-19-00058
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7
Large scale evaluation of importance maps in automatic speech recognition
Autor: Viet Anh Trinh, Michael I. Mandel
Publikováno v: INTERSPEECH
In this paper, we propose a metric that we call the structured saliency benchmark (SSBM) to evaluate importance maps computed for automatic speech recognizers on individual utterances. These maps indicate time-frequency points of the utterance that a
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bf6c8f3f1a1282ed205e9fe0f448a3e
http://arxiv.org/abs/2005.10929
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8
CHiME-6 Challenge: Tackling Multispeaker Speech Recognition for Unsegmented Recordings
Autor: Naoyuki Kanda, David Snyder, Ashish Arora, Bar Ben Yair, Christoph Boeddeker, Neville Ryant, Jan Trmal, Xuankai Chang, Emmanuel Vincent, Daniel Povey, Aswin Shanmugam Subramanian, Shinji Watanabe, Michael I. Mandel, Zhaoheng Ni, Shota Horiguchi, Takuya Yoshioka, Sanjeev Khudanpur, Vimal Manohar, Yusuke Fujita, Desh Raj, Jon Barker
Publikováno v: CHiME 2020-6th International Workshop on Speech Processing in Everyday Environments
CHiME 2020-6th International Workshop on Speech Processing in Everyday Environments, May 2020, Barcelona / Virtual, Spain
International audience; Following the success of the 1st, 2nd, 3rd, 4th and 5th CHiME challenges we organize the 6th CHiME Speech Separation and Recognition Challenge (CHiME-6). The new challenge revisits the previous CHiME-5 challenge and further co
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f23f9c49b95df37c06c48fa6001688a2
https://doi.org/10.21437/chime.2020-1
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10
Speaker Independence of Neural Vocoders and Their Effect on Parametric Resynthesis Speech Enhancement
Autor: Michael I. Mandel, Soumi Maiti
Publikováno v: ICASSP
Traditional speech enhancement systems produce speech with compromised quality. Here we propose to use the high quality speech generation capability of neural vocoders for better quality speech enhancement. We term this parametric resynthesis (PR). I
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b2ad3e30ec72e01672904f08ebdec5a
https://doi.org/10.1109/icassp40776.2020.9053296
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