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06/29/2023
High-Quality Automatic Voice Over with Accurate Alignment: Supervision through Self-Supervised Discrete Speech Units
The goal of Automatic Voice Over (AVO) is to generate speech in sync wit...
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06/01/2023
SlothSpeech: Denial-of-service Attack Against Speech Recognition Models
Deep Learning (DL) models have been popular nowadays to execute differen...
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05/23/2023
Improving Speech Emotion Recognition Performance using Differentiable Architecture Search
Speech Emotion Recognition (SER) is a critical enabler of emotion-aware ...
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05/12/2023
Versatile Audio-Visual Learning for Handling Single and Multi Modalities in Emotion Regression and Classification Tasks
Most current audio-visual emotion recognition models lack the flexibilit...
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11/14/2022
SNIPER Training: Variable Sparsity Rate Training For Text-To-Speech
Text-to-speech (TTS) models have achieved remarkable naturalness in rece...
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11/07/2022
Accented Text-to-Speech Synthesis with a Conditional Variational Autoencoder
Accent plays a significant role in speech communication, influencing und...
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10/25/2022
Mixed Emotion Modelling for Emotional Voice Conversion
Emotional voice conversion (EVC) aims to convert the emotional state of ...
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09/22/2022
EPIC TTS Models: Empirical Pruning Investigations Characterizing Text-To-Speech Models
Neural models are known to be over-parameterized, and recent work has sh...
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09/22/2022
Controllable Accented Text-to-Speech Synthesis
Accented text-to-speech (TTS) synthesis seeks to generate speech with an...
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08/11/2022
Speech Synthesis with Mixed Emotions
Emotional speech synthesis aims to synthesize human voices with various ...
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06/15/2022
Accurate Emotion Strength Assessment for Seen and Unseen Speech Based on Data-Driven Deep Learning
Emotion classification of speech and assessment of the emotion strength ...
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01/10/2022
Emotion Intensity and its Control for Emotional Voice Conversion
Emotional voice conversion (EVC) seeks to convert the emotional state of...
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10/20/2021
Identity Conversion for Emotional Speakers: A Study for Disentanglement of Emotion Style and Speaker Identity
Expressive voice conversion performs identity conversion for emotional s...
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10/13/2021
DeepA: A Deep Neural Analyzer For Speech And Singing Vocoding
Conventional vocoders are commonly used as analysis tools to provide int...
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10/07/2021
VisualTTS: TTS with Accurate Lip-Speech Synchronization for Automatic Voice Over
In this paper, we formulate a novel task to synthesize speech in sync wi...
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10/07/2021
StrengthNet: Deep Learning-based Emotion Strength Assessment for Emotional Speech Synthesis
Recently, emotional speech synthesis has achieved remarkable performance...
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07/08/2021
Expressive Voice Conversion: A Joint Framework for Speaker Identity and Emotional Style Transfer
Traditional voice conversion(VC) has been focused on speaker identity co...
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05/31/2021
Emotional Voice Conversion: Theory, Databases and ESD
In this paper, we first provide a review of the state-of-the-art emotion...
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04/03/2021
Reinforcement Learning for Emotional Text-to-Speech Synthesis with Improved Emotion Discriminability
Emotional text-to-speech synthesis (ETTS) has seen much progress in rece...
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03/31/2021
Limited Data Emotional Voice Conversion Leveraging Text-to-Speech: Two-stage Sequence-to-Sequence Training
Emotional voice conversion (EVC) aims to change the emotional state of a...
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11/03/2020
VAW-GAN for Disentanglement and Recomposition of Emotional Elements in Speech
Emotional voice conversion (EVC) aims to convert the emotion of speech f...
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10/28/2020
Seen and Unseen emotional style transfer for voice conversion with a new emotional speech dataset
Emotional voice conversion aims to transform emotional prosody in speech...
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10/23/2020
GraphSpeech: Syntax-Aware Graph Attention Network For Neural Speech Synthesis
Attention-based end-to-end text-to-speech synthesis (TTS) is superior to...
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08/11/2020
Modeling Prosodic Phrasing with Multi-Task Learning in Tacotron-based TTS
Tacotron-based end-to-end speech synthesis has shown remarkable voice qu...
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08/11/2020
Spectrum and Prosody Conversion for Cross-lingual Voice Conversion with CycleGAN
Cross-lingual voice conversion aims to change source speaker's voice to ...
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08/10/2020
VAW-GAN for Singing Voice Conversion with Non-parallel Training Data
Singing voice conversion aims to convert singer's voice from source to t...
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08/09/2020
An Overview of Voice Conversion and its Challenges: From Statistical Modeling to Deep Learning
Speaker identity is one of the important characteristics of human speech...
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08/04/2020
Expressive TTS Training with Frame and Style Reconstruction Loss
We propose a novel training strategy for Tacotron-based text-to-speech (...
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05/13/2020
Converting Anyone's Emotion: Towards Speaker-Independent Emotional Voice Conversion
Emotional voice conversion aims to convert the emotion of the speech fro...
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02/02/2020
WaveTTS: Tacotron-based TTS with Joint Time-Frequency Domain Loss
Tacotron-based text-to-speech (TTS) systems directly synthesize speech f...
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02/01/2020
Transforming Spectrum and Prosody for Emotional Voice Conversion with Non-Parallel Training Data
Emotional voice conversion is to convert the spectrum and prosody to cha...
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11/07/2019
Teacher-Student Training for Robust Tacotron-based TTS
While neural end-to-end text-to-speech (TTS) is superior to conventional...
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05/27/2019