Scaling Laws for Phonotactic Complexity in Spoken English Language Data
نویسندگان
چکیده
منابع مشابه
Phonotactic Model for Spoken Language Identification in Indian Language Perspective
Indian Languages are Indo-Aryan being influenced by Sanskrit or Dravidian being influenced by Tamil. Dravidian Languages have the influence of Sanskrit also. All Indian Languages have the influence of Pali language for which the graphemes are being influenced Brahmi. All the Indian languages are phonetic in nature. Every Indian language has its distinctive phone sets. North Indian languages are...
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We investigate the addition of a new language, for which limited resources are available, to a phonotactic language identification system. Two classes of approaches are studied: in the first class, only existing phonetic recognizers are employed, whereas an additional phonetic recognizer in the new language is created for the second class. It is found that the number of acoustic recognizers emp...
متن کاملA Phonotactic Language Model for Spoken Language Identification
We have established a phonotactic language model as the solution to spoken language identification (LID). In this framework, we define a single set of acoustic tokens to represent the acoustic activities in the world’s spoken languages. A voice tokenizer converts a spoken document into a text-like document of acoustic tokens. Thus a spoken document can be represented by a count vector of acoust...
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چارچوب نظری این مطالعه شامل یک گزارش عملکردی است و مبتنی بر تعریف شیفرین (1987) از مدل چند بعدی وابستگی مطالب است. این مطالعه 10 نشانگر گفتمان (بنابراین ، بله ، بسیار خوب ، باشه ، می دانید ، خوب ، چون، من فکر می کنم ، منظور من این است که ، در واقع) را با توجه به الگوی عملکردی مشلر(1994) در مورد نشانگرهای گفتمان طبقه بندی می کند. این مطالعه به بررسی مشخصات وقوع این عناصر در گفتار فی البداهه دانش...
15 صفحه اولTowards High Performance Phonotactic Feature for Spoken Language Recognition
With the demands of globalization, multilingual speech is increasingly common in conversational telephone speech, broadcast news and internet podcasts. Therefore, automatic spoken language recognition has become an important technology in multilingual speech related applications. For example, automatic spoken language recognition has been used as a preprocessing component for spoken language tr...
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ژورنال
عنوان ژورنال: Language and Speech
سال: 2020
ISSN: 0023-8309,1756-6053
DOI: 10.1177/0023830920944445