Cited By
View all- Afonso SLaranjo IBraga JAlves VNeves J(2015)Multilingual Voice Control for Endoscopic ProceduresInternet of Things. User-Centric IoT10.1007/978-3-319-19656-5_33(229-235)Online publication date: 26-Jun-2015
This paper presents the development of acoustic and language models for robust Urdu speech recognition using the CMU Sphinx Open Source Toolkit for speech recognition. Three models have been developed incrementally, with the addition of speech data of ...
Understanding the human spoken language recognition process is still a far scientific goal. Nowadays, commercial automatic speech recognisers (ASRs) achieve high performance at recognising clean speech, but their approaches are poorly ...
Automatic phonetic transcription tools usually perform phonetic transcriptions directly from orthographic representations. Although these approaches often achieve good results, theoretical studies suggest that including morphophonological knowledge ...
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