Reducing Computation Time of the Rapid Unsupervised Speaker Adaptation Based on HMM-Sufficient Statistics
نویسندگان
چکیده
منابع مشابه
Rapid unsupervised speaker adaptation based on multi-template HMM sufficient statistics in noisy environments
This paper describes a multi-template unsupervised speaker adaptation based on HMM-Sufficient Statistics. Multiple class-dependent models based on gender and age are used to push up the adaptation performance while keeping adaptation time within few seconds with just one arbitrary utterance. Adaptation begins with the estimation of speaker‘s class from the N-best neighbor speakers using Gaussia...
متن کاملUnsupervised speaker adaptation based on sufficient HMM statistics of selected speakers
This paper describes an efficient method for unsupervised speaker adaptation. This method is based on (1) selecting a subset of speakers who are acoustically close to a test speaker, and (2) calculating adapted model parameters according to the previously stored sufficient HMM statistics of the selected speakers’ data. In this method, only a few unsupervised test speaker’s data are required for...
متن کاملDoctoral Dissertation Rapid Unsupervised Speaker Adaptation Based on Sufficient Statistics of Hidden Markov Models
In realizing a speech recognition system robust to variation of speakers, an efficient adaptation algorithm is needed. Most adaptation techniques require many adaptation data to carry out an adaptation task. Adaptation data are often collected from the actual speaker itself in several utterances. With the time needed to gather and transcribe the adaptation utterances, together with the actual e...
متن کاملEvaluation on unsupervised speaker adaptation based on sufficient HMM statictics of selected speakers
This paper describes an efficient method of unsupervised speaker adaptation. This method is based on (1) selecting a subset of speakers who are acoustically close to a test speaker, and (2) calculating adapted model parameters according to the previously stored sufficient statistics of the selected speakers’ data. In this method, only a few unsupervised test speaker’s data are necessary for the...
متن کاملSpectral subtraction in noisy environments applied to speaker adaptation based on HMM sufficient statistics
Noise and speaker adaptation techniques are essential to realize robust speech recognition in real noisy environments . In this paper, we applied spectral subtraction to an unsupervised speaker adaptation algorithm in noisy environments. The adaptation algorithm consists of the following five steps. (1) Spectral subtraction is carried out for noise added database. (2) Noise matched acoustic mod...
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: IEICE Transactions on Information and Systems
سال: 2007
ISSN: 0916-8532,1745-1361
DOI: 10.1093/ietisy/e90-d.2.554