Bayesian Subspace Hidden Markov Model for Acoustic Unit Discovery

8 April 2019

Papers citing "Bayesian Subspace Hidden Markov Model for Acoustic Unit Discovery"

6 / 6 papers shown

Title
Learning Phone Recognition from Unpaired Audio and Phone Sequences Based on Generative Adversarial Network Da-Rong Liu Po-Chun Hsu Yi-Chen Chen Sung-Feng Huang Shun-Po Chuang Da-Yi Wu Hung-yi Lee GAN 31 7 0 29 Jul 2022
Word Segmentation on Discovered Phone Units with Dynamic Programming and Self-Supervised Scoring Herman Kamper 34 25 0 24 Feb 2022
Discovering Phonetic Inventories with Crosslingual Automatic Speech Recognition Piotr Żelasko Siyuan Feng Laureano Moro Velázquez A. Abavisani Saurabhchand Bhati O. Scharenborg M. Hasegawa-Johnson Najim Dehak 33 15 0 26 Jan 2022
Multilingual transfer of acoustic word embeddings improves when training on languages related to the target zero-resource language C. Jacobs Herman Kamper 35 10 0 24 Jun 2021
A comparison of self-supervised speech representations as input features for unsupervised acoustic word embeddings Lisa van Staden Herman Kamper SSL 31 16 0 14 Dec 2020
Multilingual acoustic word embedding models for processing zero-resource languages Herman Kamper Yevgen Matusevych Sharon Goldwater 31 24 0 06 Feb 2020