Results 11 to 20 of about 371,452 (184)
Improved Speech Synthesis Algorithm Based on Harmonic Plus Noise Excitation Model [PDF]
The excitation signal used in the traditional Hidden Markov Model(HMM)-based speech synthesis algorithm is either a pulse train or white gaussian noise,and the synthesis speech sounds buzzy.An improved speech synthesis algorithm based on harmonic plus ...
GE Yongkan,YU Fengqin
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Chinese personalised text‐to‐speech synthesis for robot human–machine interaction
Speech interaction is an important means of robot interaction. With the rapid development of deep learning, end‐to‐end speech synthesis methods based on this technique have gradually become mainstream.
Bao Pang +5 more
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An Emotion Speech Synthesis Method Based on VITS
People and things can be connected through the Internet of Things (IoT), and speech synthesis is one of the key technologies. At this stage, end-to-end speech synthesis systems are capable of synthesizing relatively realistic human voices, but the ...
Wei Zhao, Zheng Yang
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A Review of Deep Learning Based Speech Synthesis
Speech synthesis, also known as text-to-speech (TTS), has attracted increasingly more attention. Recent advances on speech synthesis are overwhelmingly contributed by deep learning or even end-to-end techniques which have been utilized to enhance a wide ...
Yishuang Ning +4 more
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Computer-Implemented Articulatory Models for Speech Production: A Review
Modeling speech production and speech articulation is still an evolving research topic. Some current core questions are: What is the underlying (neural) organization for controlling speech articulation?
Bernd J. Kröger
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Cepstral analysis based on the Glimpse proportion measure for improving the intelligibility of HMM-based synthetic speech in noise [PDF]
In this paper we introduce a new cepstral coefficient extraction method based on an intelligibility measure for speech in noise, the Glimpse Proportion measure.
King, S. +4 more
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A survey of expressive speech synthesis
Speech synthesis is a hot research topic in the field of speech, language and machine learning, which aims to synthesize understandable and natural speech for a given text.It has a wide range of applications in industry.One of the goals of speech ...
Haobin TANG +4 more
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ACOUSTIC MODELING FOR KAZAKH SPEECH SYNTHESIS [PDF]
We present a new framework of generative adversarial network for training of acoustic model for speech synthesis. The proposed generative adversarial network consists of a generator and a pair of agent discriminators, where the generator predicts the ...
Arman K. Kaliyev, Sergey V. Rybin
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Full-Band LPCNet: A Real-Time Neural Vocoder for 48 kHz Audio With a CPU
This paper investigates a real-time neural speech synthesis system on CPUs that can synthesize high-fidelity 48 kHz speech waveforms to cover the entire frequency range audible by human beings.
Keisuke Matsubara +6 more
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Model-Based Synthesis of Visual Speech Movements from 3D Video
We describe a method for the synthesis of visual speech movements using a hybrid unit selection/model-based approach. Speech lip movements are captured using a 3D stereo face capture system and split up into phonetic units.
James D. Edge +2 more
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