The role of temporal and spectral cues in speech recognition

1996 ◽  
Vol 100 (4) ◽  
pp. 2829-2829
Author(s):  
Philipos C. Loizou ◽  
Michael F. Dorman
Keyword(s):  
Speech Recognition ◽  
Spectral Cues

scholarly journals From Translation Studies and audiovisual translation to media accessibility

Target ◽  
2016 ◽  
Vol 28 (2) ◽  
pp. 248-260 ◽  
Author(s):  
Aline Remael ◽  
Nina Reviers ◽  
Reinhild Vandekerckhove
Keyword(s):  
Speech Recognition ◽  
Basic Research ◽  
Translation Studies ◽  
Hybrid Form ◽  
Audio Description ◽  
Translation Practice ◽  
Recent Developments ◽  
Key Issues ◽  
The One

Abstract Recent developments in Translation Studies and translation practice have not only led to a profusion of approaches, but also to the development of new text forms and translation modes. Media Accessibility, particularly audio description (AD) and subtitling for the deaf and hard-of-hearing (SDH), is an example of such a ‘new’ mode. SDH has been evolving quickly in recent decades and new developments such as interlingual SDH and live subtitling with speech recognition bring it closer to established forms of translation and interpreting. On the one hand, interlingual SDH reintroduces Jakobson’s (1959) ‘translation proper’ while the use of speech recognition has led to the creation of a hybrid form that has affinities with both subtitling and interpreting. Audio description, for its part, cannot even be fitted into Jakobson’s ‘intersemiotic translation’ model since it involves translation from images into words. Research into AD is especially interesting since it rallies methods from adjacent disciplines, much in the same way that Holmes ([1972] 1988) described TS when it was a fledgling discipline. In 2008, Braun set out a research agenda for AD and the wealth of topics and research approaches dealt with in her article illustrate the immense complexity of this field and the work still to be done. Although AD and SDH research have developed at different paces and are concerned with different topics, converging trends do appear. Particularly the role of technology and the concept of multimodality seem to be key issues. This article aims to give an overview of current research trends in both these areas. It illustrates the possibilities of technology-driven research – particularly popular in SDH and live-subtitling research – while at the same time underlining the value of individual, human-driven approaches, which are still the main ‘modus operandi’ in the younger discipline of AD where much basic research is still required.

The Role of Automated Speech Recognition in Endoscopic Data Collection

Endoscopy ◽  
1992 ◽  
Vol 24 (S 2) ◽  
pp. 493-498 ◽  
Author(s):  
R. S. Johannes ◽  
D. L. Carr-Locke
Keyword(s):  
Speech Recognition ◽  
Data Collection ◽  
Automated Speech Recognition

Speech recognition with reduced spectral cues as a function of age

2000 ◽  
Vol 107 (5) ◽  
pp. 2704-2710 ◽  
Author(s):  
Laurie S. Eisenberg ◽  
Robert V. Shannon ◽  
Amy Schaefer Martinez ◽  
John Wygonski ◽  
Arthur Boothroyd
Keyword(s):  
Speech Recognition ◽  
Spectral Cues

The role of speaker identification in auditory and visual speech recognition: Evidence from twin speech

2018 ◽  
Vol 144 (3) ◽  
pp. 1799-1799
Author(s):  
Madeline Petrich ◽  
Macie Petrich ◽  
Chao-Yang Lee ◽  
Seth Wiener ◽  
Margaret Harrison ◽  
...  
Keyword(s):  
Speech Recognition ◽  
Speaker Identification ◽  
Visual Speech ◽  
Visual Speech Recognition

scholarly journals Role of non-linear data processing on speech recognition task in the framework of reservoir computing

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Flavio Abreu Araujo ◽  
Mathieu Riou ◽  
Jacob Torrejon ◽  
Sumito Tsunegi ◽  
Damien Querlioz ◽  
...  
Keyword(s):  
Speech Recognition ◽  
Data Processing ◽  
Recognition Task ◽  
Reservoir Computing ◽  
Non Linear
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