Neural Source-Filter Waveform Models for Statistical Parametric Speech Synthesis
نویسندگان
چکیده
منابع مشابه
Study on Unit-Selection and Statistical Parametric Speech Synthesis Techniques
One of the interesting topics on multimedia domain is concerned with empowering computer in order to speech production. Speech synthesis is granting human abilities to the computer for speech production. Data-based approach and process-based approach are the two main approaches on speech synthesis. Each approach has its varied challenges. Unit-selection speech synthesis and statistical parametr...
متن کاملRecurrent Neural Network Postfilters for Statistical Parametric Speech Synthesis
In the last two years, there have been numerous papers that have looked into using Deep Neural Networks to replace the acoustic model in traditional statistical parametric speech synthesis. However, far less attention has been paid to approaches like DNN-based postfiltering where DNNs work in conjunction with traditional acoustic models. In this paper, we investigate the use of Recurrent Neural...
متن کاملInvestigating source and filter contributions, and their interaction, to statistical parametric speech synthesis
This paper presents an investigation of the separate perceptual degradations introduced by the modelling of source and filter features in statistical parametric speech synthesis. This is achieved using stimuli in which various permutations of natural, vocoded and modelled source and filter are combined, optionally with the addition of filter modifications (e.g. global variance or modulation spe...
متن کاملTemporal modeling in neural network based statistical parametric speech synthesis
This paper proposes a novel neural network structure for speech synthesis, in which spectrum, F0 and duration parameters are simultaneously modeled in a unified framework. In the conventional neural network approaches, spectrum and F0 parameters are predicted by neural networks while phone and/or state durations are given from other external duration predictors. In order to consistently model n...
متن کاملStatistical parametric speech synthesis for Ibibio
Ibibio is a Nigerian tone language, spoken in the south-east coastal region of Nigeria. Like most African languages, it is resource-limited. This presents a major challenge to conventional approaches to speech synthesis, which typically require the training of numerous predictive models of linguistic features such as the phoneme sequence (i.e., a pronunciation dictionary plus a letterto-sound m...
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: IEEE/ACM Transactions on Audio, Speech, and Language Processing
سال: 2020
ISSN: 2329-9290,2329-9304
DOI: 10.1109/taslp.2019.2956145