514 citations · 543 across the 5 of their papers we have counts for
6 papers
On the Fallacy of Global Token Perplexity in Spoken Language Model Evaluation
Chan-Jan Hsu, Liang-Hsuan Tseng, Yi-Cheng Lin +5
Generative spoken language models pretrained on large-scale raw audio can continue a speech prompt with appropriate content while preserving attributes like speaker and emotion, se…
Layer-wise Analysis of a Self-supervised Speech Representation Model
Ankita Pasad, Ju-Chieh Chou, Karen Livescu
Recently proposed self-supervised learning approaches have been successful for pre-training speech representation models. The utility of these learned representations has been obse…
SpeechBrain: A General-Purpose Speech Toolkit
Mirco Ravanelli, Titouan Parcollet, Peter Plantinga +18
SpeechBrain is an open-source and all-in-one speech toolkit. It is designed to facilitate the research and development of neural speech processing technologies by being simple, fle…
One-shot Voice Conversion by Separating Speaker and Content Representations with Instance Normalization
Ju-chieh Chou, Cheng-chieh Yeh, Hung-yi Lee
Recently, voice conversion (VC) without parallel data has been successfully adapted to multi-target scenario in which a single model is trained to convert the input voice to many d…
Rhythm-Flexible Voice Conversion without Parallel Data Using Cycle-GAN over Phoneme Posteriorgram Sequences
Cheng-chieh Yeh, Po-chun Hsu, Ju-chieh Chou +2
Speaking rate refers to the average number of phonemes within some unit time, while the rhythmic patterns refer to duration distributions for realizations of different phonemes wit…
Multi-target Voice Conversion without Parallel Data by Adversarially Learning Disentangled Audio Representations
Ju-chieh Chou, Cheng-chieh Yeh, Hung-yi Lee +1
Recently, cycle-consistent adversarial network (Cycle-GAN) has been successfully applied to voice conversion to a different speaker without parallel data, although in those approac…