Adaptive Training for Voice Conversion Based on Eigenvoices
نویسندگان
چکیده
منابع مشابه
Adaptive Training for Voice Conversion Based on Eigenvoices
In this paper, we describe a novel model training method for one-to-many eigenvoice conversion (EVC). One-to-many EVC is a technique for converting a specific source speaker’s voice into an arbitrary target speaker’s voice. An eigenvoice Gaussian mixture model (EVGMM) is trained in advance using multiple parallel data sets consisting of utterance-pairs of the source speaker and many pre-stored ...
متن کاملCross-language voice conversion based on eigenvoices
This paper presents a novel cross-language voice conversion (VC) method based on eigenvoice conversion (EVC). Crosslanguage VC is a technique for converting voice quality between two speakers uttering different languages each other. In general, parallel data consisting of utterance pairs of those two speakers are not available. To deal with this problem, we apply EVC to cross-language VC. First...
متن کاملDoctoral Thesis Techniques for Improving Voice Conversion Based on Eigenvoices
Voice conversion (VC) is a technique for converting a source speaker’s voice into another speaker’s voice without changing linguistic information. As a typical approach to VC, a statistical method based on Gaussian mixture model (GMM) is used widely. A GMM is trained as a conversion model using a parallel data set composed of many utterance-pairs of source and target speakers. Although this fra...
متن کاملVoice conversion based on Gaussian processes by coherent and asymmetric training with limited training data
Voice conversion (VC) is a technique aiming to mapping the individuality of a source speaker to that of a target speaker, wherein Gaussian mixture model (GMM) based methods are evidently prevalent. Despite their wide use, two major problems remains to be resolved, i.e., over-smoothing and over-fitting. The latter one arises naturally when the structure of model is too complicated given limited ...
متن کاملEigenvoices for Hmm-based
This paper describes an eigenvoice technique for an HMMbased speech synthesis system which can synthesize speech with various voice qualities. In the eigenvoice technique, which has successfully been applied to fast speaker adaptation in an HMM based speech recognition, a large number of speaker dependent HMM sets are represented by a few parameters through a dimensionality reduction technique,...
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: 2010
ISSN: 0916-8532,1745-1361
DOI: 10.1587/transinf.e93.d.1589