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Experiments on cross-language attribute detection and phone recognition with minimal target-specific training data.

หน่วยงาน Nanyang Technological University, Singapore

รายละเอียด

ชื่อเรื่อง : Experiments on cross-language attribute detection and phone recognition with minimal target-specific training data.
นักวิจัย : Siniscalchi, Sabato Marco. , Lyu, Dau-Cheng. , Svendsen, Torbjørn. , Lee, Chin-Hui.
คำค้น : DRNTU::Engineering::Computer science and engineering.
หน่วยงาน : Nanyang Technological University, Singapore
ผู้ร่วมงาน : -
ปีพิมพ์ : 2554
อ้างอิง : Siniscalchi, S. M., Lyu, D. C., Svendsen, T., & Lee, C. H. (2011). Experiments on cross-language attribute detection and phone recognition with minimal target-specific training data. IEEE transactions on audio, speech, and language processing, 20(3), 875-887. , http://hdl.handle.net/10220/16448 , http://dx.doi.org/10.1109/TASL.2011.2167610
ที่มา : -
ความเชี่ยวชาญ : -
ความสัมพันธ์ : IEEE transactions on audio, speech, and language processing
ขอบเขตของเนื้อหา : -
บทคัดย่อ/คำอธิบาย :

A state-of-the-art automatic speech recognition (ASR) system can often achieve high accuracy for most spoken languages of interest if a large amount of speech material can be collected and used to train a set of language-specific acoustic phone models. However, designing good ASR systems with little or no language-specific speech data for resource-limited languages is still a challenging research topic. As a consequence, there has been an increasing interest in exploring knowledge sharing among a large number of languages so that a universal set of acoustic phone units can be defined to work for multiple or even for all languages. This work aims at demonstrating that a recently proposed automatic speech attribute transcription framework can play a key role in designing language-universal acoustic models by sharing speech units among all target languages at the acoustic phonetic attribute level. The language-universal acoustic models are evaluated through phone recognition. It will be shown that good cross-language attribute detection and continuous phone recognition performance can be accomplished for “unseen” languages using minimal training data from the target languages to be recognized. Furthermore, a phone-based background model (PBM) approach will be presented to improve attribute detection accuracies.

บรรณานุกรม :
Siniscalchi, Sabato Marco. , Lyu, Dau-Cheng. , Svendsen, Torbjørn. , Lee, Chin-Hui. . (2554). Experiments on cross-language attribute detection and phone recognition with minimal target-specific training data..
    กรุงเทพมหานคร : Nanyang Technological University, Singapore.
Siniscalchi, Sabato Marco. , Lyu, Dau-Cheng. , Svendsen, Torbjørn. , Lee, Chin-Hui. . 2554. "Experiments on cross-language attribute detection and phone recognition with minimal target-specific training data.".
    กรุงเทพมหานคร : Nanyang Technological University, Singapore.
Siniscalchi, Sabato Marco. , Lyu, Dau-Cheng. , Svendsen, Torbjørn. , Lee, Chin-Hui. . "Experiments on cross-language attribute detection and phone recognition with minimal target-specific training data.."
    กรุงเทพมหานคร : Nanyang Technological University, Singapore, 2554. Print.
Siniscalchi, Sabato Marco. , Lyu, Dau-Cheng. , Svendsen, Torbjørn. , Lee, Chin-Hui. . Experiments on cross-language attribute detection and phone recognition with minimal target-specific training data.. กรุงเทพมหานคร : Nanyang Technological University, Singapore; 2554.