Detail publikačního výsledku

Enhancement and Analysis of Conversational Speech: JSALT 2017

RYANT, N.; BERGELSON, E.; CHURCH, K.; CRISTIA, A.; DU, J.; GANAPATHY, S.; KHUDANPUR, S.; KOWALSKI, D.; KRISHNAMOORTHY, M.; KULSHRESHTA, R.; LIBERMAN, M.; LU, Y.; MACIEJEWSKI, M.; METZE, F.; PROFANT, J.; SUN, L.; TSAO, Y.; YU, Z.

Originální název

Enhancement and Analysis of Conversational Speech: JSALT 2017

Anglický název

Enhancement and Analysis of Conversational Speech: JSALT 2017

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

Automatic speech recognition is more and more widely and effectivelyused. Nevertheless, in some automatic speech analysis tasksthe state of the art is surprisingly poor. One of these is "diarization",the task of determining who spoke when. Diarization is key toprocessing meeting audio and clinical interviews, extended recordingssuch as police body cam or child language acquisition data, andany other speech data involving multiple speakers whose voices arenot cleanly separated into individual channels. Overlapping speech,environmental noise and suboptimal recording techniques make theproblem harder. During the JSALT Summer Workshop at CMU in2017, an international team of researchers worked on several aspectsof this problem, including calibration of the state of the art, detectionof overlaps, enhancement of noisy recordings, and classification ofshorter speech segments. This paper sketches the workshops results,and announces plans for a "Diarization Challenge" to encourage furtherprogress.

Anglický abstrakt

Automatic speech recognition is more and more widely and effectivelyused. Nevertheless, in some automatic speech analysis tasksthe state of the art is surprisingly poor. One of these is "diarization",the task of determining who spoke when. Diarization is key toprocessing meeting audio and clinical interviews, extended recordingssuch as police body cam or child language acquisition data, andany other speech data involving multiple speakers whose voices arenot cleanly separated into individual channels. Overlapping speech,environmental noise and suboptimal recording techniques make theproblem harder. During the JSALT Summer Workshop at CMU in2017, an international team of researchers worked on several aspectsof this problem, including calibration of the state of the art, detectionof overlaps, enhancement of noisy recordings, and classification ofshorter speech segments. This paper sketches the workshops results,and announces plans for a "Diarization Challenge" to encourage furtherprogress.

Klíčová slova

diarization, overlap detection, speech enhancement,automatic speech recognition

Klíčová slova v angličtině

diarization, overlap detection, speech enhancement,automatic speech recognition

Autoři

RYANT, N.; BERGELSON, E.; CHURCH, K.; CRISTIA, A.; DU, J.; GANAPATHY, S.; KHUDANPUR, S.; KOWALSKI, D.; KRISHNAMOORTHY, M.; KULSHRESHTA, R.; LIBERMAN, M.; LU, Y.; MACIEJEWSKI, M.; METZE, F.; PROFANT, J.; SUN, L.; TSAO, Y.; YU, Z.

Rok RIV

2019

Vydáno

15.04.2018

Nakladatel

IEEE Signal Processing Society

Místo

Calgary

ISBN

978-1-5386-4658-8

Kniha

Proceedings of ICASSP 2018

Strany od

5154

Strany do

5158

Strany počet

5

URL

http://www.fit.vutbr.cz/research/groups/speech/publi/2018/profant_icassp2018_0005154.pdf

BibTex

@inproceedings{BUT155050,
  author="RYANT, N. and BERGELSON, E. and CHURCH, K. and CRISTIA, A. and DU, J. and GANAPATHY, S. and KHUDANPUR, S. and KOWALSKI, D. and KRISHNAMOORTHY, M. and KULSHRESHTA, R. and LIBERMAN, M. and LU, Y. and MACIEJEWSKI, M. and METZE, F. and PROFANT, J. and SUN, L. and TSAO, Y. and YU, Z.",
  title="Enhancement and Analysis of Conversational Speech: JSALT 2017",
  booktitle="Proceedings of ICASSP 2018",
  year="2018",
  pages="5154--5158",
  publisher="IEEE Signal Processing Society",
  address="Calgary",
  doi="10.1109/ICASSP.2018.8462468",
  isbn="978-1-5386-4658-8",
  url="http://www.fit.vutbr.cz/research/groups/speech/publi/2018/profant_icassp2018_0005154.pdf"
}