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ICMCS
2010
IEEE
164views Multimedia» more  ICMCS 2010»
14 years 9 months ago
Exploiting multimodal data fusion in robust speech recognition
This article introduces automatic speech recognition based on Electro-Magnetic Articulography (EMA). Movements of the tongue, lips, and jaw are tracked by an EMA device, which are...
Panikos Heracleous, Pierre Badin, Gérard Ba...
ICASSP
2011
IEEE
14 years 1 months ago
Cross-Channel Spectral Subtraction for meeting speech recognition
We propose Cross-Channel Spectral Subtraction (CCSS), a source separation method for recognizing meeting speech where one microphone is prepared for each speaker. The method quick...
Yu Nasu, Koichi Shinoda, Sadaoki Furui
NAACL
1994
14 years 11 months ago
Techniques to Achieve an Accurate Real-Time Large-Vocabulary Speech Recognition System
In addressing the problem of achieving high-accuracy real-time speech recognition systems, we focus on recognizing speech from ARPA's20,000-word Wall Street Journal (WSJ) tas...
Hy Murveit, Peter Monaco, Vassilios Digalakis, Joh...
TSD
2005
Springer
15 years 3 months ago
Why Is the Recognition of Spontaneous Speech so Hard?
Although speech, derived from reading texts, and similar types of speech, e.g. that from reading newspapers or that from news broadcast, can be recognized with high accuracy, recog...
Sadaoki Furui, Masanobu Nakamura, Tomohisa Ichiba,...
ICDAR
2005
IEEE
15 years 3 months ago
IAM-OnDB - an On-Line English Sentence Database Acquired from Handwritten Text on a Whiteboard
In this paper we present IAM-OnDB - a new large online handwritten sentences database. It is publicly available and consists of text acquired via an electronic interface from a wh...
Marcus Liwicki, Horst Bunke