Automatic segmentation and labeling of speech based on Hidden Markov Models-Reference-Cited by-同舟云学术

Automatic segmentation and labeling of speech based on Hidden Markov Models

Published:1993-08 Issue:4 Volume:12 Page:357-370
ISSN:0167-6393
Container-title:Speech Communication
language:en
Short-container-title:Speech Communication

Author:

Brugnara F.,Falavigna D.,Omologo M.

Publisher

Elsevier BV

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Linguistics and Language,Language and Linguistics,Communication,Modeling and Simulation,Software

Reference11 articles.

1. Improved connected digit recognition using spectral variation functions;Brugnara,1992

2. A HMM-based system for automatic segmentation and labeling speech;Brugnara,1992

3. A preliminary statistical evaluation of manual and automatic segmentation discrepancies;Cosi,1991

4. A DTW-based approach to the automatic labeling of speech according to the phonetic transcription;Falavigna,1990

5. Speech database development: Design and analysis of the acoustic-phonetic corpus;Lamel,1986

Cited by 66 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Rethinking tokenization;International Journal of Chinese Linguistics;2024-06-17

2. Temporal feature-based approaches for enhancing phoneme boundary detection and masking in speech;International Journal of Speech Technology;2024-06

3. Exploring Saliency for Learning Sensory-Motor Contingencies in Loco-Manipulation Tasks;Robotics;2024-04-01

4. Neural electric bass guitar synthesis framework enabling attack-sustain-representation-based technique control;EURASIP Journal on Audio, Speech, and Music Processing;2024-01-11

5. Using LSTM neural networks for cross‐lingual phonetic speech segmentation with an iterative correction procedure;Computational Intelligence;2023-09-19