Determining the perceived quality of packet audio under packet loss usually requires human-based Mean Opinion Score (MOS) listening tests. We propose a new MOS estimation method based on machine speech recognition. Its automated, machine-based nature facilitates real-time monitoring of transmission quality without the need to conduct time-consuming listening tests. Our evaluation of this new me...

OBJECTIVE To outline the audiological findings of aphasic patients after cerebrovascular accidents. METHODS This is a cross-sectional study performed between March 2011 and August 2012 in the Speech, Language, and Hearing Pathology Department of the Universidade Federal de São Paulo. A total of 43 aphasic subjects (27 men) were referred for audiological evaluation after stroke, with mean age ...

This paper deals with the impact of a signal enhancement method on speech recognition confidence scores, in the presence of noise. The speech recognition confidence score reflects the reliability of correctness of the recogniser’s output. This is important since errors in the presence of noise are more frequent and tend to make applications, such as spoken dialogue systems, too cumbersome to us...

OBJECTIVES/HYPOTHESIS To report the preliminary results of the Ototronix MAXUM middle ear implant for treatment of severe high-frequency sensorineural hearing loss. STUDY DESIGN Case series with chart review. METHODS Six consecutive ears with severe high-frequency sensorineural hearing loss (≥75 dB HL at 2, 3, and 4 kHz) and poor aided word recognition performance (≤60% single words) underw...

This paper describes our word segmentation system and named entity recognition (NER) system for participating in the third SIGHAN Bakeoff. Both of them are based on character tagging, but use different tag sets and different features. Evaluation results show that our word segmentation system achieved 93.3% and 94.7% F-score in UPUC and MSRA open tests, and our NER system got 70.84% and 81.32% F...

Word recognition norms were determined for the Northwestern University Auditory Test No. 6 (NU-6) released on the Department of Veterans Affairs (VA) Disc 1.1. Word recognition performance (in quiet and in competing message) was measured at 12 presentation levels for 24 young adults with normal hearing. Test-retest reliability also was evaluated. Word recognition scores for VA Disc 1.1 were gen...

A case study of a child (KB) who demonstrated binaural interference is reported. KB wore unilateral amplification from 1.6 to 4.6 years of age, at which time word-recognition scores under phones were markedly asymmetric, reflecting significantly better performance for the aided ear than the unaided ear, despite similar unaided pure-tone sensitivity. Suspecting the asymmetry in word-recognition ...

As to traditional n-gram model, smaller n value is an inherent defect for estimating language probabilities in speech recognition, simply because that estimation could not be executed over farther word association but by means of short sequential word correlated information. This has an strong effect on the performance of speech recognition. This paper introduces an integrated language modeling...

This paper presents the results of Persian handwritten word recognition based on Mixture of Experts technique. In the basic form of ME the problem space is automatically divided into several subspaces for the experts, and the outputs of experts are combined by a gating network. In our proposed model, we used Mixture of Experts Multi Layered Perceptrons with Momentum term, in the classification ...

BACKGROUND The chemical compound and drug name recognition plays an important role in chemical text mining, and it is the basis for automatic relation extraction and event identification in chemical information processing. So a high-performance named entity recognition system for chemical compound and drug names is necessary. METHODS We developed a CHEMDNER system based on mixed conditional r...