Learn More
A new method for prosodic word boundary detection in continuous speech was developed based on the statistical modeling of moraic transitions of fundamental frequency (F0) contours, formerly proposed by the authors. In the developed method, F 0 contours of prosodic words were mod-eled separately according to the accent types. An input utterance was matched(More)
Recommended by Deliang Wang This paper proposes an audiovisual speech recognition method using lip information extracted from side-face images as an attempt to increase noise robustness in mobile environments. Our proposed method assumes that lip images can be captured using a small camera installed in a handset. Two different kinds of lip features,(More)
When using Weighted Finite State Transducers (WFSTs) in speech recognition, on-the-fly composition approaches have been proposed as a method of reducing memory consumption and increasing flexibility during decoding. We have recently implemented several fast on-the-fly techniques, namely avoiding dead-end states, dynamic pushing and state sharing in our(More)
This paper proposes a new method for controlling phoneme duration according to arbitrary target speech rate in speech synthesis (TTS, text-to-speech) systems. The proposed method first constructs three fundamental duration models at " fast " , " normal " , and " slow " speech rates using Hayashi's Quantification Theory (Type 1) based on real speech(More)
This paper proposes a noise robust speech recognition method using prosodic information. In Japanese, fundamental frequency (F0) contour represents phrase intonation and word accent information. Consequently, it conveys information about prosodic phrase and word boundaries. This paper first proposes a noise robust F0 extraction method using Hough transform,(More)