Recent Progress in the CUHK Dysarthric Speech Recognition System

Recent Progress in the Sphinx Speech Recognition System

This paper describes recent improvements in the SPHINX Speech Recognition System. These enhancements include function-phrase modeling, between-word coarticulation modeling, and corrective training. On the DARPA resource management task, SPHINX attained a speaker-independent word accuracy of 96% with a grammar (perplexity 60), and 82% without grammar (perplexity 997).

Speech Recognition Technology for Dysarthric Speech

The initial results of investigations into the use of current commercial automatic speech recognition (ASR) software by people with speech disability (dysarthria) is presented, together with a brief summary of the history of the development of ASR and its applications for the disabled. Results confirm the viability of dysarthric use, identify areas of further investigation for improved recognit...

Sentence modality recognition in dysarthric speech

Recent Progress in Robust Vocabulary-Independent Speech Recognition

This paper reports recent efforts to improve the performance of CMU's robust vocabulary-independent (VI) speech recognition systems on the DARPA speaker-independent resource management task. The improvements are evaluated on 320 sentences that randomly selected from the DARPA June 88, February 89 and October 89 test sets. Our first improvement involves more detailed acoustic modeling. We incorp...

Recent Progress in Corpus-Based Spontaneous Speech Recognition

This paper overviews recent progress in the development of corpus-based spontaneous speech recognition technology. Although speech is in almost any situation spontaneous, recognition of spontaneous speech is an area which has only recently emerged in the field of automatic speech recognition. Broadening the application of speech recognition depends crucially on raising recognition performance f...