This paper investigates the relationship between the quality of speech translation outputs and the errors in a speech recognition subsystem. In this study, we assume that a speech translation system is a sequential combination of speech recognition and automatic translation subsystems. We conducted speech translation experiments while changing parameters in the speech recognition subsystem to g...

Previous work in wireless speech recognition has focused on two methods, namely, quantizing recognition features (e.g. MFCC) or performing recognition using speech coding parameters (e.g. LPC). All of this previous research assumes that the communication channel is only large enough to transmit either speech coding parameters or speech recognition parameters. By contrast, we propose that the sp...

Several studies have shown that automatic speech recognition error rates are greater for children’s speech than for adult’s speech. Investigations have demonstrated that word recognition error rates increase as age decreases, and that recognition performance for children’s speech is more sensitive to bandwidth reduction, compared with adult speech. This paper presents the results of experiments...

This paper summarizes my 40 years of research on speech and speaker recognition, focusing on selected topics that I have investigated at NTT Laboratories, Bell Laboratories and Tokyo Institute of Technology with my colleagues and students. These topics include: the importance of spectral dynamics in speech perception; speaker recognition methods using statistical features, cepstral features, an...

Reverberation-robust speech recognition has become very important in the field of distant-talking speech recognition. However, as no common reverberation criteria for the recognition of reverberant speech have yet been proposed, it has been difficult to estimate its effectiveness. To address this problem in 2007, we investigated early and late reflections on distanttalking speech recognition to...

Emotions are essential in developing interpersonal relationships. make emphasizing with others’ problems easy and leads to better communication without misunderstandings. Humans possess the natural ability of understanding emotions from their speech, hand gestures, facial expressions etc react accordingly but, it is impossible for machines extract understand unless they trained do so. Speech Em...

In most of the practical applications of Automatic Speech Recognition (ASR), the input speech is contaminated by a background noise. This strongly degrades the performance of speech recognizers (Gong, 1995; Cole et al., 1995; Torre et al., 2000). The reduction of the accuracy could make unpractical the use of ASR technology in applications that must work in real conditions, where the input spee...

Based on Bell Labs speech recognition and understanding technology, we developed LASR3 (Lucent Automatic Speech Recognition, Version 3), a speaker independent, software-based continuous speech recognition engine. It is compatible with Microsoft Speech Application Programming Interface (MS SAPI)[1]. LASR3 provides support for desktop, telephony, and internet applications requiring speech recogni...