We study the phonetic information in the signal from an ultrasonic “microphone”, a device that emits an ultrasonic wave toward a speaker and receives the reflected, Doppler-s...
We study key issues related to multilingual acoustic modeling for automatic speech recognition (ASR) through a series of large-scale ASR experiments. Our study explores shared str...
Hui Lin, Li Deng, Dong Yu, Yifan Gong, Alex Acero,...
Editing speech data is currently time-consuming and errorprone. Speech editors rely on acoustic waveform representations, which force users to repeatedly sample the underlying spe...
Despite its widespread use, voicemail presents numerous usability challenges: People must listen to messages in their entirety, they cannot search by keywords, and audio files do ...
The Rich News system, that can automatically annotate radio and television news with the aid of resources retrieved from the World Wide Web, is described. Automatic speech recogni...
Mike Dowman, Valentin Tablan, Hamish Cunningham, B...
This paper explores the issues involved in using symbolic metric algorithms for automatic speech recognition (ASR), via a structural representation of speech. This representation ...
This work extends and improves a recently introduced (Dec. 2007) dynamic Bayesian network (DBN) based audio-visual automatic speech recognition (AVASR) system. That system models ...