Text-free image-to-speech synthesis using learned segmental units
In this paper we present the first model for directly synthesizing fluent, natural-sounding
spoken audio captions for images that does not require natural language text as an …
spoken audio captions for images that does not require natural language text as an …
[HTML][HTML] Audio deepfakes: A survey
Z Khanjani, G Watson, VP Janeja - Frontiers in Big Data, 2023 - frontiersin.org
A deepfake is content or material that is synthetically generated or manipulated using
artificial intelligence (AI) methods, to be passed off as real and can include audio, video …
artificial intelligence (AI) methods, to be passed off as real and can include audio, video …
Non-parallel voice conversion with cyclic variational autoencoder
In this paper, we present a novel technique for a non-parallel voice conversion (VC) with the
use of cyclic variational autoencoder (CycleVAE)-based spectral modeling. In a variational …
use of cyclic variational autoencoder (CycleVAE)-based spectral modeling. In a variational …
Transfer learning from speech synthesis to voice conversion with non-parallel training data
We present a novel voice conversion (VC) framework by learning from a text-to-speech
(TTS) synthesis system, that is called TTS-VC transfer learning or TTL-VC for short. We first …
(TTS) synthesis system, that is called TTS-VC transfer learning or TTL-VC for short. We first …
[图书][B] The science of deep learning
I Drori - 2022 - books.google.com
The Science of Deep Learning emerged from courses taught by the author that have
provided thousands of students with training and experience for their academic studies, and …
provided thousands of students with training and experience for their academic studies, and …
Introduction to voice presentation attack detection and recent advances
Over the past few years, significant progress has been made in the field of presentation
attack detection (PAD) for automatic speaker recognition (ASV). This includes the …
attack detection (PAD) for automatic speaker recognition (ASV). This includes the …
VQVAE unsupervised unit discovery and multi-scale code2spec inverter for zerospeech challenge 2019
We describe our submitted system for the ZeroSpeech Challenge 2019. The current
challenge theme addresses the difficulty of constructing a speech synthesizer without any …
challenge theme addresses the difficulty of constructing a speech synthesizer without any …
Speech representation disentanglement with adversarial mutual information learning for one-shot voice conversion
One-shot voice conversion (VC) with only a single target speaker's speech for reference has
become a hot research topic. Existing works generally disentangle timbre, while information …
become a hot research topic. Existing works generally disentangle timbre, while information …
Nonparallel emotional speech conversion
We propose a nonparallel data-driven emotional speech conversion method. It enables the
transfer of emotion-related characteristics of a speech signal while preserving the speaker's …
transfer of emotion-related characteristics of a speech signal while preserving the speaker's …