Zobrazeno 1 - 10
of 127
pro vyhledávání: '"Chen, Stan"'
Publikováno v:
Tire Business. 9/11/2006, Vol. 24 Issue 12, p24-24. 1/9p. 1 Color Photograph.
Autor:
Szu-Chen Stan Jou, Tanja Schultz
Publikováno v:
Biomedical Engineering Systems and Technologies ISBN: 9783540922186
BIOSTEC (Selected Papers)
BIOSTEC (Selected Papers)
This paper presents our studies of automatic speech recognition based on electromyographic biosignals captured from the articulatory muscles in the face using surface electrodes. We develop a phone-based speech recognizer and describe how the perform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::237c36d8366eeb60574ef53e73cd78be
https://publikationen.bibliothek.kit.edu/1000009148
https://publikationen.bibliothek.kit.edu/1000009148
Publikováno v:
ICME
Scopus-Elsevier
Scopus-Elsevier
This paper describes a study of automatically identifying whispering speakers. People usually whisper in order to avoid being identified or overheard by lowering their voices. The study compares performances between normal and whispered speech mode i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d479020e117f8f13f9c78e0504b4602
https://doi.org/10.1109/icme.2007.4284828
https://doi.org/10.1109/icme.2007.4284828
Publikováno v:
ICASSP (4)
In our previous work, we reported a surface electromyographic (EMG) continuous speech recognition system with a novel EMG feature extraction method, E4, which is more robust to EMG noise than traditional spectral features. In this paper, we show that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3afc31bb8a756f20bd841c44a3531511
https://publikationen.bibliothek.kit.edu/1000008868
https://publikationen.bibliothek.kit.edu/1000008868
Publikováno v:
Scopus-Elsevier
INTERSPEECH
INTERSPEECH
In this paper we present our investigations on the potential of wavelet-based preprocessing for surface electromyographic speech recognition. We implemented several variants of the Discrete Wavelet Transform and applied them to electromyographical da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d92f0d3e36a397dc775b2d4f66669ac
Publikováno v:
INTERSPEECH
In this paper we present first experiments towards a tighter coupling between Automatic Speech Recognition (ASR) and Statistical Machine Translation (SMT) to improve the overall performance of our speech translation system. In coventional speech tran
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb931a1201a293968f850c624652f34f
https://doi.org/10.21437/interspeech.2004-32
https://doi.org/10.21437/interspeech.2004-32
Autor:
Tony Ezzat, Bhiksha Raj, Szu-Chen Stan Jou, Tanja Schultz, Arthur R. Toth, Kaustubh Kalgaonkar, Michael Wand
Publikováno v:
The Journal of the Acoustical Society of America. 127:1816-1816
Numerous techniques have been devised to process speech audio in noise, but automatic speech recognition is difficult when the noise is too great. An alternative approach is to collect data that represent the speech production process but is less aff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d840028552f69ed3b1f836e6f9777d2
https://doi.org/10.1121/1.3384186
https://doi.org/10.1121/1.3384186