Papers Punctuation Restoration
“Punctuation Restoration” 태그가 달린 논문 51편 · 필터 해제
Granary: Speech Recognition and Translation Dataset in 25 European Languages
Multi-task and multilingual approaches benefit large models, yet speech processing for low-resource languages remains underexplored due to data scarcity. To address this, we present Granary, a large-scale collection of s…
HallucinationPunctuation Restorationspeech-recognitionSpeech Recognition+1Chain of Correction for Full-text Speech Recognition with Large Language Models
Full-text error correction with Large Language Models (LLMs) for Automatic Speech Recognition (ASR) has gained increased attention due to its potential to correct errors across long contexts and address a broader spectru…
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)Punctuation Restorationspeech-recognition+2HERITAGE: An End-to-End Web Platform for Processing Korean Historical Documents in Hanja
While Korean historical documents are invaluable cultural heritage, understanding those documents requires in-depth Hanja expertise. Hanja is an ancient language used in Korea before the 20th century, whose characters we…
document understandingMachine Translationnamed-entity-recognitionNamed Entity Recognition+1Universal-2-TF: Robust All-Neural Text Formatting for ASR
This paper introduces an all-neural text formatting (TF) model designed for commercial automatic speech recognition (ASR) systems, encompassing punctuation restoration (PR), truecasing, and inverse text normalization (IT…
AllAutomatic Speech RecognitionAutomatic Speech Recognition (ASR)Computational Efficiency+4Fotheidil: an Automatic Transcription System for the Irish Language
This paper sets out the first web-based transcription system for the Irish language - Fotheidil, a system that utilises speech-related AI technologies as part of the ABAIR initiative. The system includes both off-the-she…
Action DetectionActivity DetectionAutomatic Speech RecognitionPunctuation Restoration+2When Does Classical Chinese Help? Quantifying Cross-Lingual Transfer in Hanja and Kanbun
Historical and linguistic connections within the Sinosphere have led researchers to use Classical Chinese resources for cross-lingual transfer when processing historical documents from Korea and Japan. In this paper, we …
Cross-Lingual TransferLanguage ModelingLanguage ModellingMachine Translation+4Spontaneous Informal Speech Dataset for Punctuation Restoration
Presently, punctuation restoration models are evaluated almost solely on well-structured, scripted corpora. On the other hand, real-world ASR systems and post-processing pipelines typically apply towards spontaneous spee…
Punctuation RestorationFull-text Error Correction for Chinese Speech Recognition with Large Language Model
Large Language Models (LLMs) have demonstrated substantial potential for error correction in Automatic Speech Recognition (ASR). However, most research focuses on utterances from short-duration speech recordings, which a…
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)Language ModelingLanguage Modelling+9LLaMA based Punctuation Restoration With Forward Pass Only Decoding
This paper introduces two advancements in the field of Large Language Model Annotation with a focus on punctuation restoration tasks. Our first contribution is the application of LLaMA for punctuation restoration, which …
Language ModelingLanguage ModellingLarge Language ModelPunctuation RestorationPunctuation Restoration Improves Structure Understanding Without Supervision
Unsupervised learning objectives like autoregressive and masked language modeling constitute a significant part in producing pre-trained representations that perform various downstream applications from natural language …
ChunkingLanguage ModelingLanguage ModellingLarge Language Model+7Resolving Transcription Ambiguity in Spanish: A Hybrid Acoustic-Lexical System for Punctuation Restoration
Punctuation restoration is a crucial step after Automatic Speech Recognition (ASR) systems to enhance transcript readability and facilitate subsequent NLP tasks. Nevertheless, conventional lexical-based approaches are in…
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)Language ModelingLanguage Modelling+4Punctuation restoration Model and Spacing Model for Korean Ancient Document
In Korean ancient documents, there is no spacing or punctuation, and they are written in classical Chinese characters. This makes it challenging for modern individuals and translation models to accurately interpret and t…
modelPunctuation RestorationTranslationTransformer Based Punctuation Restoration for Turkish
Mobile devices and social media platforms make communication faster than humans have had before, thanks to the technologies such as automatic speech recognition(ASR). However, the speed in text-based communication method…
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)Punctuation Restorationspeech-recognition+1A Small and Fast BERT for Chinese Medical Punctuation Restoration
In clinical dictation, utterances after automatic speech recognition (ASR) without explicit punctuation marks may lead to the misunderstanding of dictated reports. To give a precise and understandable clinical report wit…
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)Contrastive LearningPunctuation Restoration+2Boosting Punctuation Restoration with Data Generation and Reinforcement Learning
Punctuation restoration is an important task in automatic speech recognition (ASR) which aim to restore the syntactic structure of generated ASR texts to improve readability. While punctuated texts are abundant from writ…
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)Punctuation Restorationreinforcement-learning+3Efficient Ensemble for Multimodal Punctuation Restoration using Time-Delay Neural Network
Punctuation restoration plays an essential role in the post-processing procedure of automatic speech recognition, but model efficiency is a key requirement for this task. To that end, we present EfficientPunct, an ensemb…
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)Computational EfficiencyPunctuation Restoration+2Punctuation Restoration for Singaporean Spoken Languages: English, Malay, and Mandarin
This paper presents the work of restoring punctuation for ASR transcripts generated by multilingual ASR systems. The focus languages are English, Mandarin, and Malay which are three of the most popular languages in Singa…
Language ModellingPunctuation Restorationslot-fillingSlot Filling+1FF2: A Feature Fusion Two-Stream Framework for Punctuation Restoration
To accomplish punctuation restoration, most existing methods focus on introducing extra information (e.g., part-of-speech) or addressing the class imbalance problem. Recently, large-scale transformer-based pre-trained la…
Language ModelingLanguage ModellingPunctuation RestorationVocal Bursts Valence PredictionVietnamese Capitalization and Punctuation Recovery Models
Despite the rise of recent performant methods in Automatic Speech Recognition (ASR), such methods do not ensure proper casing and punctuation for their outputs. This problem has a significant impact on the comprehension …
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)Punctuation Restorationspeech-recognition+1BehancePR: A Punctuation Restoration Dataset for Livestreaming Video Transcript
Given the increasing number of livestreaming videos, automatic speech recognition and post-processing for livestreaming video transcripts are crucial for efficient data management as well as knowledge mining. A key step …
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)ManagementPunctuation Restoration+3