Speaker adaptation based on regularized speaker-dependent eigenphone matrix estimation
نویسندگان
چکیده
منابع مشابه
Speaker adaptation based on regularized speaker-dependent eigenphone matrix estimation
Eigenphone-based speaker adaptation outperforms conventional maximum likelihood linear regression (MLLR) and eigenvoice methods when there is sufficient adaptation data. However, it suffers from severe over-fitting when only a few seconds of adaptation data are provided. In this paper, various regularization methods are investigated to obtain a more robust speaker-dependent eigenphone matrix es...
متن کاملSpeaker adaptation based on sparse and low-rank eigenphone matrix estimation
The eigenphone based speaker adaptation outperforms the conventional MLLR and eigenvoice methods when the adaptation data is sufficient, but it suffers from severe over-fitting when the adaptation data is limited. In this paper, l1 and nuclear norm regularization are applied simultaneously to obtain a more robust eigenphone estimation, resulting in a sparse and low-rank eigenphone matrix. The s...
متن کاملSpeaker Adaptation in Continuous Speech Recognition Using MLLR-Based MAP Estimation
A variety of methods are used for speaker adaptation in speech recognition. In some techniques, such as MAP estimation, only the models with available training data are updated. Hence, large amounts of training data are required in order to have significant recognition improvements. In some others, such as MLLR, where several general transformations are applied to model clusters, the results ar...
متن کاملSpeaker Adaptation in Continuous Speech Recognition Using MLLR-Based MAP Estimation
A variety of methods are used for speaker adaptation in speech recognition. In some techniques, such as MAP estimation, only the models with available training data are updated. Hence, large amounts of training data are required in order to have significant recognition improvements. In some others, such as MLLR, where several general transformations are applied to model clusters, the results ar...
متن کاملSpeaker adaptation based on system combination using speaker-class models
In this paper, we propose a new system combination approach for an LVCSR system using speaker-class (SC) models and a speaker adaptation technique based on these SC models. The basic concept of the SC-based system is to select speakers who are acoustically similar to a target speaker to train acoustic models. One of the major problems regarding the use of the SC model is determining the selecti...
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: EURASIP Journal on Audio, Speech, and Music Processing
سال: 2014
ISSN: 1687-4722
DOI: 10.1186/1687-4722-2014-11