Unverified50% confidenceFactExact time
L2-ARCTIC is a publicly available dataset designed for second-language English speech research, containing speakers with native language backgrounds including Arabic, Mandarin, Hindi, Korean, Spanish, and Vietnamese, each contributing approximately 1,150 utterances.
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Long-term
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10/12/2026
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UnverifiedThe study uses L2-ARCTIC and multiple external English accent datasets to compare two evaluation settings: file-level splitting and speaker-isolated splitting.78% similarUnverifiedIn large language models, one English word typically corresponds to 1–2 tokens, one Chinese character typically corresponds to 1.5–2.5 tokens, and GPT-4's single-conversation context window is approximately 128,000 tokens.59% similarUnverifiedEnglish speech datasets can reach hundreds of thousands of hours, while many Indian languages have only hundreds to thousands of hours of high-quality annotated data59% similarUnverifiedBidirectional text processing involves the Unicode Bidirectional Algorithm (UBA), which is used to handle right-to-left writing languages such as Arabic, Hebrew, and Persian.59% similarUnverifiedSpeechData.ai lists speech data covering 60 languages and dialects totaling more than 73,000 hours.58% similar
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