We present ‘webASR’, an online interface to our state-of-the-art automatic speech recognition (ASR) systems. It aims to provide the wider scientific research community with an interface to speech transcription for domains and applications where the generation of such transcripts was not previously feasible. The webASR interface allows the upload of audio files and, in turn, the download of automatically generated ASR transcripts. Depending upon the specification given for an audio file, the system will transcribe using an appropriate speech recogniser chosen from one of the many available, such as a NIST RT evaluation system. The transcripts will be available for download after processing.
Javier Ortega-GarcíaSantiago Cruz-LlanasJoaquín González-Rodríguez
Thomas HainJeremy ChristianÓscar SazSalil DeenaMadina HasanRaymond W. M. NgRosanna MilnerMortaza DoulatyYulan Liu