Abstract

This paper presents the most recent developments of the webASR service (www.webasr.org), the world’s first web– based fully functioning automatic speech recognition platform for scientific use. Initially released in 2008, the functionalities of webASR have recently been expanded with 3 main goals in mind: Facilitate access through a RESTful architecture, that allows for easy use through either the web interface or an API; allow the use of input metadata when available by the user to improve system performance; and increase the coverage of available systems beyond speech recognition. Several new systems for transcription, diarisation, lightly supervised alignment and translation are currently available through webASR. The results in a series of well–known benchmarks (RT’09, IWSLT’12 and MGB’15 evaluations) show how these webASR systems provides state–of–the–art performances across these tasks

Keywords:
Metadata Computer science Cloud computing Architecture Speech technology Web service World Wide Web Transcription (linguistics) Interface (matter) User interface Machine translation Human–computer interaction Speech synthesis Speech recognition Artificial intelligence Operating system

Metrics

2
Cited By
0.56
FWCI (Field Weighted Citation Impact)
19
Refs
0.87
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Speech Recognition and Synthesis
Physical Sciences →  Computer Science →  Artificial Intelligence
Speech and Audio Processing
Physical Sciences →  Computer Science →  Signal Processing
Speech and dialogue systems
Physical Sciences →  Computer Science →  Artificial Intelligence
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