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Speech Recognition

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하위 태스크: 11
평가표: 236
보존된 평가 기록: 398

Speech Recognition is the task of converting spoken language into text. It involves recognizing the words spoken in an audio recording and transcribing them into a written format. The goal is to accurately transcribe the speech in real-time or from recorded audio, taking into account factors such as accents, speaking speed, and background noise.

<span style="color:grey; opacity: 0.6">( Image credit: SpecAugment )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/getalp/mass-dataset

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MaSS: A Large and Clean Multilingual Corpus of Sentence-aligned Spoken Utterances Extracted from the Bible

https://github.com/gitycc/phonetic_mlm

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Integrated Semantic and Phonetic Post-correction for Chinese Speech Recognition

https://github.com/gmkim90/AAS_enhancement

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Unpaired Speech Enhancement by Acoustic and Adversarial Supervision for Speech Recognition

https://github.com/gokulkarthik/text2speech

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Towards Building Text-To-Speech Systems for the Next Billion Users

https://github.com/goodmike31/pl-asr-bigos-tools

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Framework for Curating Speech Datasets and Evaluating ASR Systems: A Case Study for Polish

https://github.com/google-research-datasets/common-crawl-domain-names

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Semi-supervised URL Segmentation with Recurrent Neural NetworksPre-trained on Knowledge Graph Entities

https://github.com/google-research-datasets/i3-video

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Beyond Instructional Videos: Probing for More Diverse Visual-Textual Grounding on YouTube

https://github.com/google-research/electra

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Pre-Training Transformers as Energy-Based Cloze Models

https://github.com/google-research/google-research

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A Spectral Energy Distance for Parallel Speech Synthesis

https://github.com/google/language-resources

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Google Crowdsourced Speech Corpora and Related Open-Source Resources for Low-Resource Languages and Dialects: An Overview

https://github.com/google/speaker-id

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DiarizationLM: Speaker Diarization Post-Processing with Large Language Models

https://github.com/google/speaker-id/tree/master/DiarizationLM

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DiarizationLM: Speaker Diarization Post-Processing with Large Language Models

https://github.com/googleinterns/deepspeech-reconstruction

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A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter It

https://github.com/googleinterns/learning-bag-of-words

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Revealing and Protecting Labels in Distributed Training

https://github.com/gpt-omni/mini-omni

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Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming

https://github.com/gsidiropoulos/passage_retrieval_for_spoken_qa

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On the Impact of Speech Recognition Errors in Passage Retrieval for Spoken Question Answering

https://github.com/guozixunnicolas/dent-ddsp

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DENT-DDSP: Data-efficient noisy speech generator using differentiable digital signal processors for explicit distortion modelling and noise-robust speech recognition

https://github.com/guxm2021/MM_ALT

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MM-ALT: A Multimodal Automatic Lyric Transcription System

https://github.com/guxm2021/alt_speechbrain

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Transfer Learning of wav2vec 2.0 for Automatic Lyric Transcription

https://github.com/gzhu06/Filler-semi-CRF

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Transcription free filler word detection with Neural semi-CRFs

https://github.com/h-aldarmaki/acoustic_embeddings

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Supervised Acoustic Embeddings And Their Transferability Across Languages

https://github.com/habla-liaa/encodecmae

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EnCodecMAE: Leveraging neural codecs for universal audio representation learning

https://github.com/habla-liaa/ser-with-w2v2

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Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings

https://github.com/hanbocai/badspeech_soe

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Towards Stealthy Backdoor Attacks against Speech Recognition via Elements of Sound

https://github.com/haoxiangsnr/llm-tse

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Typing to Listen at the Cocktail Party: Text-Guided Target Speaker Extraction

https://github.com/harunorikawano/speaker-identification-with-tgp

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An Effective Transformer-based Contextual Model and Temporal Gate Pooling for Speaker Identification

https://github.com/hayato-futami-s/joint-asr-dysfl

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Streaming Joint Speech Recognition and Disfluency Detection

https://github.com/hdvos/euparliamentasrdataandcode

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Political corpus creation through automatic speech recognition on EU debates

https://github.com/hendrycks/error-detection

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A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

https://github.com/hfp/libxsmm

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Efficient and Generic 1D Dilated Convolution Layer for Deep Learning

https://github.com/hfutami/distill-bert-for-seq2seq-asr

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Distilling the Knowledge of BERT for Sequence-to-Sequence ASR

https://github.com/hillhao/PYNQ-project

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The implementation of a Deep Recurrent Neural Network Language Model on a Xilinx FPGA

https://github.com/hirofumi0810/neural_sp

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CTC-synchronous Training for Monotonic Attention Model

https://github.com/hiromu/robust_audio_ae

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Robust Audio Adversarial Example for a Physical Attack

https://github.com/hishab-nlp/pseudo-labeling-for-domain-agnostic-bangla-asr

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Pseudo-Labeling for Domain-Agnostic Bangla Automatic Speech Recognition

https://github.com/hitz-zentroa/whisper-lm

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Whisper-LM: Improving ASR Models with Language Models for Low-Resource Languages

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.