Speaker-Independent HMM-based Speech Synthesis System
نویسندگان
چکیده
This paper describes an HMM-based speech synthesis system developed by the HTS working group for the Blizzard Challenge 2007. To further explore the potential of HMM-based speech synthesis, we incorporate new features in our conventional system which underpin a speaker-independent approach: speaker adaptation techniques; adaptive training for HSMMs; and full covariance modeling using the CSMAPLR transforms.
منابع مشابه
Speaker and language adaptive training for HMM-based polyglot speech synthesis
This paper proposes a novel technique for speaker and language adaptive training for HMM-based statistical parametric polyglot speech synthesis. Language-specific context-dependencies in the system are captured using CAT with cluster-dependent decision trees. Acoustic variations caused by speaker characteristics are handled by CMLLR-based transforms. This framework allows multi-speaker/multi-la...
متن کاملPerformance evaluation of the speaker-independent HMM-based speech synthesis system "HTS 2007" for the Blizzard Challenge 2007
This paper describes a speaker-independent/adaptive HMM-based speech synthesis system developed for the Blizzard Challenge 2007. The new system, named “HTS-2007”, employs speaker adaptation (CSMAPLR+MAP), feature-space adaptive training, mixed-gender modeling, and full-covariance modeling using CSMAPLR transforms, in addition to several other techniques that have proved effective in our previou...
متن کاملSpeaker interpolation in HMM-based speech synthesis system
This paper describes an approach to voice characteristics conversion for HMM-based text-to-speech synthesis system by using speaker interpolation. An HMM interpolation technique is derived from a probabilistic distance measure for HMMs, and used to synthesize speech with untrained speaker’s characteristics by interpolating HMM parameters among some representative speakers’ HMM sets. The result ...
متن کاملHMM-based polyglot speech synthesis by speaker and language adaptive training
This paper describes a technique for speaker and language adaptive training (SLAT) for HMM-based polyglot speech synthesis and its evaluations on a multi-lingual speech corpus. The SLAT technique allows multi-speaker/multi-language adaptive training and synthesis to be performed. Experimental results show that the SLAT technique achieves better naturalness than both speaker-adaptively trained l...
متن کاملA robust speaker verification system against imposture using an HMM-based speech synthesis system
This paper describes a text-prompted speaker verification system which is robust to imposture using synthetic speech generated by an HMM-based speech synthesis system. In the verification system, text and speaker are verified separately. Text verification is based on phoneme recognition using HMM, and speaker verification is based on GMM. To discriminate synthetic speech from natural speech, an...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2007