Jul 9, 2019 · We demonstrate that the multi-speaker ClariNet outperforms state-of-the-art systems in terms of naturalness, because the whole model is jointly ...
People also ask
What is multi speaker TTS?
What is the end to end speech model?
What are the different types of speech synthesis?
What are the stages of speech synthesis?
Abstract: Recently, fully recurrent neural network (RNN) based end-to-end models have been proven to be effective for multi-speaker speech recognition in ...
Missing: Synthesis. | Show results with:Synthesis.
In this paper, we develop the first fully end-to-end, jointly trained deep learning system for separation and recognition of overlapping speech signals. The ...
Missing: Synthesis. | Show results with:Synthesis.
Jan 13, 2024 · In this paper, a multi-speaker text-to-speech synthesis using a generalized end-to-end loss function is developed, capable of generating speech in real-time.
Multi-speaker speech synthesis is a technique for modeling multiple speakers' voices with a single model. Although many.
Oct 19, 2024 · Abstract: Previous work on speaker adaptation for end-to-end speech synthesis still falls short in speaker similarity.
Apr 1, 2022 · We develop an end-to-end system for multi-channel, multi-speaker automatic speech recognition. We propose a frontend for joint source separation and ...
Missing: Synthesis. | Show results with:Synthesis.
In this paper, we propose a new sequence-to-sequence framework to directly decode multiple label sequences from a single speech sequence by unifying source ...
Missing: Synthesis. | Show results with:Synthesis.
Recent advances in end-to-end text-to-speech (TTS) synthesis enable the production of synthetic speech of high quality and good speaker similarity [1, 2, 3, 4].
Learning-based Text To Speech systems have the potential to generalize from one speaker to the next and thus require a relatively short sample of any new voice.