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오늘의 자연어 처리572

[2023-07-01] 오늘의 자연어처리 LyricWhiz: Robust Multilingual Zero-shot Lyrics Transcription by Whispering to ChatGPT We introduce LyricWhiz, a robust, multilingual, and zero-shot automatic lyrics transcription method achieving state-of-the-art performance on various lyrics transcription datasets, even in challenging genres such as rock and metal. Our novel, training-free approach utilizes Whisper, a weakly supervised robust .. 2023. 7. 1.
[2023-06-30] 오늘의 자연어처리 Accelerating Transducers through Adjacent Token Merging Recent end-to-end automatic speech recognition (ASR) systems often utilize a Transformer-based acoustic encoder that generates embedding at a high frame rate. However, this design is inefficient, particularly for long speech signals due to the quadratic computation of self-attention. To address this, we propose a new method, Adjacent Token .. 2023. 6. 30.
[2023-06-29] 오늘의 자연어처리 Constructing Multilingual Code Search Dataset Using Neural Machine Translation Code search is a task to find programming codes that semantically match the given natural language queries. Even though some of the existing datasets for this task are multilingual on the programming language side, their query data are only in English. In this research, we create a multilingual code search dataset in .. 2023. 6. 29.
[2023-06-28] 오늘의 자연어처리 Transfer Learning across Several Centuries: Machine and Historian Integrated Method to Decipher Royal Secretary's Diary A named entity recognition and classification plays the first and foremost important role in capturing semantics in data and anchoring in translation as well as downstream study for history. However, NER in historical text has faced challenges such as scarcity of annotated corp.. 2023. 6. 28.
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