https://deepai.org/publication/triple-m-a-practical-neural-text-to-speech-system-with-multi-guidance-attention-and-multi-band-multi-time-lpcnet
Triple M: A Practical Neural Text-to-speech System With Multi-guidance Attention And Multi-band...
Jan 30, 2021 - 01/30/21 - In this work, a robust and efficient text-to-speech system, named Triple M, is proposed for large-scale online application. The ke...
neural text to speech
https://deepai.org/publication/prosodic-representation-learning-and-contextual-sampling-for-neural-text-to-speech
Prosodic Representation Learning and Contextual Sampling for Neural Text-to-Speech | DeepAI
Nov 4, 2020 - 11/04/20 - In this paper, we introduce Kathaka, a model trained with a novel two-stage training process for neural speech synthesis with cont...
neural text to speechrepresentation learning
https://neuraltts.in/home
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https://deepai.org/publication/prosody-transfer-in-neural-text-to-speech-using-global-pitch-and-loudness-features
Prosody Transfer in Neural Text to Speech Using Global Pitch and Loudness Features | DeepAI
Nov 21, 2019 - 11/21/19 - This paper presents a simple yet effective method to achieve prosody transfer from a reference speech signal to synthesized speech...
neural text to speech
https://www.amazon.science/publications/prosodic-representation-learning-and-contextual-sampling-for-neural-text-to-speech
Prosodic representation learning and contextual sampling for neural text-to-speech - Amazon Science
In this paper, we introduce Kathaka, a model trained with a novel two-stage training process for neural speech synthesis with contextually appropriate prosody....
neural text to speech
https://www.amazon.science/publications/enhancing-audio-quality-for-expressive-neural-text-to-speech
Enhancing audio quality for expressive neural text-to-speech - Amazon Science
Artificial speech synthesis has made a great leap in terms of naturalness as recent Text-to-Speech (TTS) systems are capable of producing speech with similar...
neural text to speechaudio qualityenhancingexpressive