research
∙
07/31/2023
Multilingual context-based pronunciation learning for Text-to-Speech
Phonetic information and linguistic knowledge are an essential component...
share
research
∙
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...
research
∙
07/31/2023
Improving grapheme-to-phoneme conversion by learning pronunciations from speech recordings
The Grapheme-to-Phoneme (G2P) task aims to convert orthographic input in...
research
∙
07/29/2022
Low-data? No problem: low-resource, language-agnostic conversational text-to-speech via F0-conditioned data augmentation
The availability of data in expressive styles across languages is limite...
research
∙
07/02/2022
Computer-assisted Pronunciation Training – Speech synthesis is almost all you need
The research community has long studied computer-assisted pronunciation ...
research
∙
02/16/2022
Voice Filter: Few-shot text-to-speech speaker adaptation using voice conversion as a post-processing module
State-of-the-art text-to-speech (TTS) systems require several hours of r...
research
∙
02/10/2022
Cross-speaker style transfer for text-to-speech using data augmentation
We address the problem of cross-speaker style transfer for text-to-speec...
research
∙
08/13/2021
Enhancing audio quality for expressive Neural Text-to-Speech
Artificial speech synthesis has made a great leap in terms of naturalnes...
research
∙
06/16/2021
Voicy: Zero-Shot Non-Parallel Voice Conversion in Noisy Reverberant Environments
Voice Conversion (VC) is a technique that aims to transform the non-ling...
research
∙
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...
research
∙
06/07/2021
Weakly-supervised word-level pronunciation error detection in non-native English speech
We propose a weakly-supervised model for word-level mispronunciation det...
research
∙
04/15/2021
Proteno: Text Normalization with Limited Data for Fast Deployment in Text to Speech Systems
Developing Text Normalization (TN) systems for Text-to-Speech (TTS) on n...
research
∙
01/16/2021
Mispronunciation Detection in Non-native (L2) English with Uncertainty Modeling
A common approach to the automatic detection of mispronunciation in lang...
research
∙
01/14/2021
EmoCat: Language-agnostic Emotional Voice Conversion
Emotional voice conversion models adapt the emotion in speech without ch...
research
∙
12/29/2020
Detection of Lexical Stress Errors in Non-native (L2) English with Data Augmentation and Attention
This paper describes two novel complementary techniques that improve the...
research
∙
12/17/2020
Parallel WaveNet conditioned on VAE latent vectors
Recently the state-of-the-art text-to-speech synthesis systems have shif...
research
∙
11/11/2020
Low-resource expressive text-to-speech using data augmentation
While recent neural text-to-speech (TTS) systems perform remarkably well...
research
∙
12/11/2019
Voice Conversion for Whispered Speech Synthesis
We present an approach to synthesize whisper by applying a handcrafted s...
research
∙
12/02/2019
Dynamic Prosody Generation for Speech Synthesis using Linguistics-Driven Acoustic Embedding Selection
Recent advances in Text-to-Speech (TTS) have improved quality and natura...
research
∙
11/28/2019
Using VAEs and Normalizing Flows for One-shot Text-To-Speech Synthesis of Expressive Speech
We propose a Text-to-Speech method to create an unseen expressive style ...
research
∙
11/10/2019
Transformation of low-quality device-recorded speech to high-quality speech using improved SEGAN model
Nowadays vast amounts of speech data are recorded from low-quality recor...
research
∙
04/04/2019
In Other News: A Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited Data
Neural text-to-speech synthesis (NTTS) models have shown significant pro...
research
∙
11/15/2018
Effect of data reduction on sequence-to-sequence neural TTS
Recent speech synthesis systems based on sampling from autoregressive ne...
research
∙
11/15/2018
Robust universal neural vocoding
This paper introduces a robust universal neural vocoder trained with 74 ...
research
∙
04/23/2018
A Spoofing Benchmark for the 2018 Voice Conversion Challenge: Leveraging from Spoofing Countermeasures for Speech Artifact Assessment
Voice conversion (VC) aims at conversion of speaker characteristic witho...
research
∙
04/12/2018
The Voice Conversion Challenge 2018: Promoting Development of Parallel and Nonparallel Methods
We present the Voice Conversion Challenge 2018, designed as a follow up ...
research
∙
04/07/2018
A comparison of recent waveform generation and acoustic modeling methods for neural-network-based speech synthesis
Recent advances in speech synthesis suggest that limitations such as the...
research
∙
04/02/2018
High-quality nonparallel voice conversion based on cycle-consistent adversarial network
Although voice conversion (VC) algorithms have achieved remarkable succe...
research
∙
03/02/2018