Automatic Recognition of Phonetic Elements in Speech
نویسندگان
چکیده
منابع مشابه
Analysis of phonetic transcriptions for Danish automatic speech recognition
Automatic speech recognition (ASR) relies on three resources: audio, orthographic transcriptions and a pronunciation dictionary. The dictionary or lexicon maps orthographic words to sequences of phones or phonemes that represent the pronunciation of the corresponding word. The quality of a speech recognition system depends heavily on the dictionary and the transcriptions therein. This paper pre...
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Automatic Segmentation" (MAUS) system labels and segments the phonetic constituents of spoken German in a manner similar to highly trained phoneticians. MAUS has been used to train automatic speech recognition (ASR) systems as well as to provide detailed statistical analyses of spontaneous speech (using the Verbmobil I and RVG I corpora). The MAUS system is a reliable, automatic means of testin...
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ژورنال
عنوان ژورنال: The Journal of the Acoustical Society of America
سال: 1953
ISSN: 0001-4966
DOI: 10.1121/1.1917720