OBJECTIVE Evaluate the performance of a continuous-speech interface to a decision support system. DESIGN The authors performed a prospective evaluation of a speech interface that matches unconstrained utterances of physicians with controlled-vocabulary terms from Quick Medical Reference (QMR). The performance of the speech interface was assessed in two stages: in the real-time experiment, phy...

This paper describes recent efforts at Linguistic Data Consortium at the University of Pennsylvania to create manual transcripts as a shared resource for human language technology research and evaluation. Speech recognition and related technologies in particular call for substantial volumes of transcribed speech for use in system development, and for human gold standard references for evaluatin...

Speech language or Natural language contents are being used as a major tool of communication. This paper presents a natural language processing based automated system for understanding speech language text. Speech language contents are comprehended by analyzing the given textual scenario provided by the user. A new rule based model is presented for analyzing the natural languages and extracting...

PURPOSE In this study, the authors evaluated a processing algorithm aimed at improving speech recognition via the telephone among older adults with sensorineural hearing loss (SNHL). METHOD Thirty older adults with SNHL participated. Speech recognition was measured in quiet using the Modified Rhyme Test (MRT; Kreul et al., 1968) and the Speech Perception in Noise (SPIN; Bilger et al., 1984) s...

Individual differences in the recognition of monosyllabic words, either in isolation (NU6 test) or in sentence context (SPIN test), were investigated under the theoretical framework of the speech intelligibility index (SII). An adaptive psychophysical procedure, namely the quick-band-importance-function procedure, was developed to enable the fitting of the SII model to individual listeners. Usi...

We present an efficient algorithm for segmentation of audio signals into speech or music. The central motivation to our study is consumer audio applications, where various real-time enhancements are often applied. The algorithm consists of a learning phase and a classification phase. In the learning phase, predefined training data is used for computing various time-domain and frequency-domain f...

Text to Speech technology has been evolving for the last 30 years and is finding use in a broad range of applications. This technology is attempting to apply modern Artificial Intelligence ideas to help it more closely resemble the capabilities of human speech. The speech community has also been expressing interest in applications such a synthetic dramatic reader. This paper aims to evaluate th...

Most large speech corpora are delivered with a lexicon that contains a canonical transcription of every word in the orthographic transcription. Such a lexicon can be used for generating a hypothetical ‘canonical’ phonetic transcription from the orthography. In addition, time and money permitting, some speech corpora are provided with a manually verified broad phonetic transcription of at least ...

Abstract Whereas many scholars have emphasized the relative importance of comprehensibility as an ecologically valid goal for L2 speech training, testing, and development, eliciting listeners’ judgments is time-consuming. Following calls research on more efficient rating methods in applied linguistics, growing attention toward using machine learning spontaneous unscripted engineering, current s...