On the Automatic Validation of Speech Alignment. Athanasopoulos, G. & Macq, B. In 2018 26th European Signal Processing Conference (EUSIPCO), pages 2105-2109, Sep., 2018.
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Paper doi abstract bibtex
Paper doi abstract bibtex The alignment of two utterances is the basis of many speech processing applications. The acoustic user interface of such applications should be capable of detecting insufficient alignment results and identifying the responsible input utterances. In this paper, we discuss the automatic validation of speech alignment and propose two new validation algorithms. The first method relies on locating and matching the syllable nuclei of the aligned utterances. The second method performs syllable-level comparison of the speech signal envelopes in accordance to the alignment time-warping path. Experimental results show that the proposed algorithms perform consistently well and can be effectively applied for the validation of different speech alignment methods.
@InProceedings{8553418,
author = {G. Athanasopoulos and B. Macq},
booktitle = {2018 26th European Signal Processing Conference (EUSIPCO)},
title = {On the Automatic Validation of Speech Alignment},
year = {2018},
pages = {2105-2109},
abstract = {The alignment of two utterances is the basis of many speech processing applications. The acoustic user interface of such applications should be capable of detecting insufficient alignment results and identifying the responsible input utterances. In this paper, we discuss the automatic validation of speech alignment and propose two new validation algorithms. The first method relies on locating and matching the syllable nuclei of the aligned utterances. The second method performs syllable-level comparison of the speech signal envelopes in accordance to the alignment time-warping path. Experimental results show that the proposed algorithms perform consistently well and can be effectively applied for the validation of different speech alignment methods.},
keywords = {speech recognition;speech alignment methods;responsible input utterances;insufficient alignment results;acoustic user interface;speech processing applications;automatic validation;alignment time-warping path;speech signal envelopes;syllable-level comparison;aligned utterances;Hidden Markov models;Speech processing;Acoustics;Phonetics;Training;Europe;Timing;speech alignment;HMM-based forced alignment;dynamic time warping;alignment assessment},
doi = {10.23919/EUSIPCO.2018.8553418},
issn = {2076-1465},
month = {Sep.},
url = {https://www.eurasip.org/proceedings/eusipco/eusipco2018/papers/1570438068.pdf},
}Downloads: 0
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