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Titlebook: Analysis and Application of Natural Language and Speech Processing; Mourad Abbas Book 2023 The Editor(s) (if applicable) and The Author(s)

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31#
發(fā)表于 2025-3-26 22:22:35 | 只看該作者
1860-4862 sis and opinion mining, Arabic named entity recognition, and language modelling. This book is relevant for anyone interested in the latest in language and speech technology..978-3-031-11037-5978-3-031-11035-1Series ISSN 1860-4862 Series E-ISSN 1860-4870
32#
發(fā)表于 2025-3-27 04:04:14 | 只看該作者
ITAcotron 2: The Power of Transfer Learning in Expressive TTS Synthesis,peech from target speakers. Our model achieved a MOS score of 4.15 in intelligibility, 3.32 in naturalness, and 3.45 in speaker similarity. These results showed the successful adaptation of the refined system to the new language and its ability to synthesise novel speech in the voice of several spea
33#
發(fā)表于 2025-3-27 08:19:44 | 只看該作者
34#
發(fā)表于 2025-3-27 10:32:14 | 只看該作者
Kabyle ASR Phonological Error and Network Analysis,y allophonic spirantized consonants that are replete in the Kabyle language and many Berber dialects more widely. We also introduce new methods to characterize the disparity in performance between ASR models by analyzing outputs in terms of phonological networks. To our knowledge, this is the first
35#
發(fā)表于 2025-3-27 15:37:59 | 只看該作者
36#
發(fā)表于 2025-3-27 21:28:45 | 只看該作者
ITAcotron 2: The Power of Transfer Learning in Expressive TTS Synthesis,sing human voice. In this work, we present ITAcotron 2, an Italian TTS synthesiser able to generate speech in several voices. In its development, we explored the power of transfer learning by iteratively fine-tuning an English Tacotron 2 spectrogram predictor on different Italian data sets. Moreover
37#
發(fā)表于 2025-3-28 00:38:57 | 只看該作者
Improving Automatic Speech Recognition for Non-native English with Transfer Learning and Language Mous work to investigate fine-tuning of a pre-trained wav2vec 2.0 model (Baevski et al. (wav2vec 2.0: A framework for self-supervised learning of speech representations (2020). Preprint arXiv:200611477), Xu et al. (Self-training and pre-training are complementary for speech recognition. In: ICASSP 20
38#
發(fā)表于 2025-3-28 02:56:09 | 只看該作者
Kabyle ASR Phonological Error and Network Analysis,ifferent writing systems. We investigate the impact of differences between Latin and Tifinagh orthographies on automatic speech recognition quality on a Kabyle Berber speech corpus. We train on a corpus represented in a Latin orthography marked for vowels and gemination and subsequently transliterat
39#
發(fā)表于 2025-3-28 07:08:05 | 只看該作者
Arabic Anaphora Resolution System Using New Features: Pronominal and Verbal Cases,anguages, especially in Arabic; therefore, a resolution mechanism is needed in several applications of NLP. The resolution process consists in establishing the link between anaphoric entities and their referents in the text. This research has two main objectives—the first one is to implement a resol
40#
發(fā)表于 2025-3-28 12:45:07 | 只看該作者
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