Implicit pronunciation variation model for automatic speech recognition
نویسندگان
چکیده
منابع مشابه
Modeling Pronunciation Variation in Automatic Speech Recognition
The performance of automatic speech recognition systems varies widely across different contexts. Very good performance can be achieved on single-speaker, large-vocabulary dictation in a clean acoustic environment, as well as on very small vocabulary tasks (such as digit recognition) with fewer constraints on the speakers and acoustic conditions. In other domains, such as meeting transcription o...
متن کاملNon-native Pronunciation Variation Modeling for Automatic Speech Recognition
Communication using speech is inherently natural, with this ability of communication unconsciously acquired in a step-by-step manner throughout life. In order to explore the benefits of speech communication in devices, there have been many research works performed over the past several decades. As a result, automatic speech recognition (ASR) systems have been deployed in a range of applications...
متن کاملPronunciation Variation Modeling for Dutch Automatic Speech Recognition
This article describes how the performance of a Dutch continuous speech recognizer was improved by modeling pronunciation variation. We propose a general procedure for modeling pronunciation variation. In short, it consists of adding pronunciation variants to the lexicon, retraining phone models and using language models to which the pronunciation variants have been added. First, within-word pr...
متن کاملModeling Pronunciation Variation for Speech Recognition
CERTIFICATE This is to certify that the work contained in this thesis titled Modeling Pronunciation Variation for Speech Recognition submitted by Gopala Krishna Anumanchipalli for the award of the degree of Master of Science (by Research) in Computer Science & Engineering is a bonafide record of research work carried out by him under our supervision. The contents of this thesis, in full or in p...
متن کاملModeling Pronunciation Variation for Cantonese Speech Recognition
Due to the large variability of pronunciation in spontaneous speech, pronunciation modeling becomes a more challenging and essential part in speech recognition. In this paper, we describe two different approaches of pronunciation modeling by using decision tree. At lexical level, a pronunciation variation dictionary is built to obtain alternative pronunciations for each word, in which each entr...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Machine Learning and Data Analysis
سال: 2016
ISSN: 2223-3792
DOI: 10.21469/22233792.2.4.01