AudioWiz: Nearly real-time audio transcriptions

ASSETS'10 - Proceedings of the 12th International ACM SIGACCESS Conference on Computers and Accessibility

Volumn , Issue , 2010, Pages 307-308

  White, Samuel ^a  

^a UNIVERSITY OF ROCHESTER   (United States)

Author keywords

Assistive technology; Audio transcription; Sound visualization

Indexed keywords

ASSISTIVE TECHNOLOGY; AUDIO TRANSCRIPTION; ENVIRONMENTAL NOISE; ENVIRONMENTAL SOUNDS; HARD OF HEARINGS; MOBILE APPLICATIONS; REAL TIME; SOUND VISUALIZATION; SPOKEN WORDS;

AUDITION; TRANSCRIPTION; VISUALIZATION;

AUDIO ACOUSTICS;

EID: 78650627895     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1878803.1878885     Document Type: Conference Paper

References (3)

1. M Ravishankar. Efficient algorithms for speech recognition. PhD thesis, Carnegie Mellon University, 2005. http://citeseerx.ist.psu.edu/viewdoc/download? DOI=10.1.1.72.3560&rep=rep1&type=pdf.
2. Ho-Ching, F. W., Mankoff, J., and Landay, J. A. 2003. Can you see what i hear?: the design and evaluation of a peripheral sound display for the deaf. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Ft. Lauderdale, Florida, USA, April 05 - 10, 2003). CHI '03. ACM, New York, NY, 161-168. DOI=http://doi.acm.org/10.1145/642611.642641
3. Little, G., L. Chilton, M. Goldman, and R.C. Miller. TurKit: Human Computation Algorithms on Mechanical Turk. UIST 2010, 2010.