Hmm-based Incremental Speech Synthesis
نویسندگان
چکیده
Incremental speech synthesis aims at delivering the synthetic voice while the sentence is still being typed. The main challenges are the online estimation of the target prosody from a partial knowledge of the sentence’s syntactic structure, the online phonetization and estimation of parts of speech and the timing of the delivery. This thesis aims at solving these challenges resulting in the implementation of a fully functioning incremental text to speech synthesizer. This thesis abstract briefly exposes the problem we are facing, the work already achieved and the future work.
منابع مشابه
Speech enhancement based on hidden Markov model using sparse code shrinkage
This paper presents a new hidden Markov model-based (HMM-based) speech enhancement framework based on the independent component analysis (ICA). We propose analytical procedures for training clean speech and noise models by the Baum re-estimation algorithm and present a Maximum a posterior (MAP) estimator based on Laplace-Gaussian (for clean speech and noise respectively) combination in the HMM ...
متن کاملHMM training strategy for incremental speech synthesis
Incremental speech synthesis aims at delivering the synthetic voice while the sentence is still being typed. One of the main challenges is the online estimation of the target prosody from a partial knowledge of the sentence’s syntactic structure. In the context of HMM-based speech synthesis, this typically results in missing segmental and suprasegmental features, which describe the linguistic c...
متن کاملStress and accent transmission in HMM-based syllable-context very low bit rate speech coding
In this paper, we propose a solution to reconstruct stress and accent contextual factors at the receiver of a very low bitrate speech codec built on recognition/synthesis architecture. In speech synthesis, accent and stress symbols are predicted from the text, which is not available at the receiver side of the speech codec. Therefore, speech signal-based symbols, generated as syllable-level log...
متن کاملAn introduction of trajectory model into HMM-based speech synthesis
In the synthesis part of a hidden Markov model (HMM) based speech synthesis system which we have proposed, a speech parameter vector sequence is generated from a sentence HMM corresponding to an arbitrarily given text by using a speech parameter generation algorithm. However, there is an inconsistency: although the speech parameter vector sequence is generated under the constraints between stat...
متن کاملSub-band text-to-speech combining sample-based spectrum with statistically generated spectrum
As described in this paper, we propose a sub-band speech synthesis approach to develop a high quality Text-to-Speech (TTS) system: a sample-based spectrum is used in the high-frequency band and spectrum generated by HMM-based TTS is used in the low-frequency band. Herein, sample-based spectrum means spectrum selected from a phoneme database such that it is the most similar to spectrum generated...
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 2015