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07/31/2023
Comparing normalizing flows and diffusion models for prosody and acoustic modelling in text-to-speech
Neural text-to-speech systems are often optimized on L1/L2 losses, which...
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07/13/2023
Controllable Emphasis with zero data for text-to-speech
We present a scalable method to produce high quality emphasis for text-t...
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06/20/2023
eCat: An End-to-End Model for Multi-Speaker TTS Many-to-Many Fine-Grained Prosody Transfer
We present eCat, a novel end-to-end multispeaker model capable of: a) ge...
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06/29/2022
Simple and Effective Multi-sentence TTS with Expressive and Coherent Prosody
Generating expressive and contextually appropriate prosody remains a cha...
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06/28/2022
Expressive, Variable, and Controllable Duration Modelling in TTS
Duration modelling has become an important research problem once more wi...
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06/27/2022
CopyCat2: A Single Model for Multi-Speaker TTS and Many-to-Many Fine-Grained Prosody Transfer
In this paper, we present CopyCat2 (CC2), a novel model capable of: a) s...
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06/29/2021
Multi-Scale Spectrogram Modelling for Neural Text-to-Speech
We propose a novel Multi-Scale Spectrogram (MSS) modelling approach to s...
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06/14/2021
A learned conditional prior for the VAE acoustic space of a TTS system
Many factors influence speech yielding different renditions of a given s...
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11/04/2020
Prosodic Representation Learning and Contextual Sampling for Neural Text-to-Speech
In this paper, we introduce Kathaka, a model trained with a novel two-st...
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05/06/2019