A novel spotting-based approach to continuous speech recognition: Minimum error classification of keyword-sequences.
نویسندگان
چکیده
منابع مشابه
Phoneme Based Acoustics Keyword Spotting in Informal Continuous Speech
This paper describes several ways of keywords spotting (KWS), based on Gaussian mixture (GM) hidden Markov modelling (HMM). Context-independent and dependent phoneme models are used in our system. The system was trained and evaluated on informal continuous speech. We used different complexities of KWS recognition networks and different types of phoneme models. The impact of these parameters on ...
متن کاملTopic recognition for news speech based on keyword spotting
This paper describes topic identi cation for Japanese TV news speech based on the keyword spotting technique. Three thousands of nouns are selected as keywords which contribute to topic identi cation, based on criterion of mutual information and a length of the word. This set of the keywords identi ed the correct topic for 76.3% of articles from newspaper text data. Further, we performed keywor...
متن کاملSpeech recognition using error spotting
Spontaneous conversational phone-call speech databases are di cult to recognize because of the large variation of speech rates, of pronunciations as well as noises, of acoustic degradations from the telephone channel, and of an unpredictable non-grammatical language structure including many random phenomena. Each cause of misrecognition can be addressed separately; however there is still no sat...
متن کاملTopics on Minimum Classification Error Rate Based Discriminant Function Approach to Speech Recognition
In this paper, we study discriminant function based minimum recognition error rate pattern recognition approach. This approach departs from the conventional paradigm which links a classification/recognition task to the problem of distribution estimation. Instead, it takes a discriminant function based statistical pattern recognition approach and the goodness of this approach to classification e...
متن کاملComparison of keyword spotting approaches for informal continuous speech
This paper describes several approaches to keyword spotting (KWS) for informal continuous speech. We compare acoustic keyword spotting, spotting in word lattices generated by large vocabulary continuous speech recognition and a hybrid approach making use of phoneme lattices generated by a phoneme recognizer. The systems are compared on carefully defined test data extracted from ICSI meeting dat...
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: Journal of the Acoustical Society of Japan (E)
سال: 1995
ISSN: 0388-2861,2185-3509
DOI: 10.1250/ast.16.147