Evidential reasoning and the combination of knowledge and statistical techniques in syllable based speech recognition

The task discussed in this paper is that of learning to map input sequences to output sequences. In particular, problems of phoneme recognition in continuous speech are considered, but most of the discussed techniques could be applied to other tasks, such as the recognition of sequences of handwritten characters. The systems considered in this paper are based on connectionist models, or artificial neural networks, sometimes combined with statistical techniques for recognition of sequences of patterns, stressing the integration of prior knowledge and learning. Different architectures for sequence and speech recognition are reviewed, including recurrent networks as well as hybrid systems involving hidden Markov models.

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Measuring Mandarin Speech Recognition Thresholds Using the Method of Adaptive Tracking

Journal of Speech Language and Hearing Research ◽

10.1044/2019_jslhr-h-18-0162 ◽

2019 ◽

Vol 62 (6) ◽

pp. 2009-2017

Author(s):

Yuxia Wang ◽

Zhaoyu Lu ◽

Xiaohu Yang ◽

Chang Liu

Keyword(s):

Speech Recognition ◽

Adaptive Tracking ◽

Mandarin Speech Recognition

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Selecting the Optimal FM System for Children With Cochlear Implants

Perspectives on Hearing and Hearing Disorders in Childhood ◽

10.1044/hhdc18.1.19 ◽

2008 ◽

Vol 18 (1) ◽

pp. 19-24

Author(s):

Erin C. Schafer

Keyword(s):

Speech Recognition ◽

Cochlear Implants ◽

Empirical Research ◽

Background Noise ◽

Signal To Noise Ratio ◽

Evidence Based ◽

Signal To Noise ◽

Speech Processor ◽

System Input ◽

Optimal Type

Children who use cochlear implants experience significant difficulty hearing speech in the presence of background noise, such as in the classroom. To address these difficulties, audiologists often recommend frequency-modulated (FM) systems for children with cochlear implants. The purpose of this article is to examine current empirical research in the area of FM systems and cochlear implants. Discussion topics will include selecting the optimal type of FM receiver, benefits of binaural FM-system input, importance of DAI receiver-gain settings, and effects of speech-processor programming on speech recognition. FM systems significantly improve the signal-to-noise ratio at the child's ear through the use of three types of FM receivers: mounted speakers, desktop speakers, or direct-audio input (DAI). This discussion will aid audiologists in making evidence-based recommendations for children using cochlear implants and FM systems.

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