| 書(shū)目名稱 | Multilingual Phone Recognition in Indian Languages |
| 編輯 | K.E Manjunath |
| 視頻video | http://file.papertrans.cn/641/640536/640536.mp4 |
| 概述 | Discusses the use of a multilingual Phone Recognition System (multi-PRS) used for decoding the phonetic units present in speech signals.Includes the design, development, and applications of multilingu |
| 叢書(shū)名稱 | SpringerBriefs in Speech Technology |
| 圖書(shū)封面 |  |
| 描述 | The book presents current research and developments in multilingual speech recognition. The author presents a Multilingual Phone Recognition System (Multi-PRS), developed using a common multilingual phone-set derived from the International Phonetic Alphabets (IPA) based transcription of six Indian languages - Kannada, Telugu, Bengali, Odia, Urdu, and Assamese. The author shows how the performance of Multi-PRS can be improved using tandem features. The book compares Monolingual Phone Recognition Systems (Mono-PRS) versus Multi-PRS and baseline versus tandem system. Methods are proposed to predict Articulatory Features (AFs) from spectral features using Deep Neural Networks (DNN). Multitask learning is explored to improve the prediction accuracy of AFs. Then, the AFs are explored to improve the performance of Multi-PRS using lattice rescoring method of combination and tandem method of combination. The author goes on to develop and evaluate the Language Identification followed by Monolingual phone recognition (LID-Mono) and common multilingual phone-set based multilingual phone recognition systems.. |
| 出版日期 | Book 2022 |
| 關(guān)鍵詞 | Indian languages; Feature fusion; Deep learning; International Phonetic Alphabet; Articulatory features |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-80741-2 |
| isbn_softcover | 978-3-030-80740-5 |
| isbn_ebook | 978-3-030-80741-2Series ISSN 2191-737X Series E-ISSN 2191-7388 |
| issn_series | 2191-737X |
| copyright | The Author(s), under exclusive license to Springer Nature Switzerland AG 2022 |
|Archiver|手機(jī)版|小黑屋|
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