Papers with Code 아카이브

Speech Recognition

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

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/jishengpeng/controlspeech

공식 코드

ControlSpeech: Towards Simultaneous and Independent Zero-shot Speaker Cloning and Zero-shot Language Style Control

https://github.com/jishengpeng/wavchat

공식 코드

WavChat: A Survey of Spoken Dialogue Models

https://github.com/jjdean321/espnet_conformer_lhuc

공식 코드

Confidence Score Based Speaker Adaptation of Conformer Speech Recognition Systems

https://github.com/joannahong/diffv2s

공식 코드

DiffV2S: Diffusion-based Video-to-Speech Synthesis with Vision-guided Speaker Embedding

https://github.com/jodie-kang/speechee

공식 코드

Towards Event Extraction from Speech with Contextual Clues

https://github.com/jonaskohler/stereoeeg2speech

공식 코드

Synthesizing Speech from Intracranial Depth Electrodes using an Encoder-Decoder Framework

https://github.com/joonaskalda/pixit

공식 코드

PixIT: Joint Training of Speaker Diarization and Speech Separation from Real-world Multi-speaker Recordings

https://github.com/joseangl/transience

공식 코드

Multi-view Temporal Alignment for Non-parallel Articulatory-to-Acoustic Speech Synthesis

https://github.com/joungheekim/k-wav2vec

공식 코드

K-Wav2vec 2.0: Automatic Speech Recognition based on Joint Decoding of Graphemes and Syllables

https://github.com/js05212/BayesianDeepLearning-Survey

공식 코드

A Survey on Bayesian Deep Learning

https://github.com/jsalsman/featex

공식 코드

Spoken English Intelligibility Remediation with PocketSphinx Alignment and Feature Extraction Improves Substantially over the State of the Art

https://github.com/jsalt2022codeswitchingasr/generating-code-switched-audio

공식 코드

Speech collage: code-switched audio generation by collaging monolingual corpora

https://github.com/juice500ml/dysarthria-mtl

공식 코드

Automatic Severity Classification of Dysarthric speech by using Self-supervised Model with Multi-task Learning

https://github.com/juice500ml/xlm_to_xlsr

공식 코드

Distilling a Pretrained Language Model to a Multilingual ASR Model

https://github.com/julieeF/CS231N-Project

공식 코드

Emotion Recognition in Audio and Video Using Deep Neural Networks

https://github.com/julirao/whisper_audio_classification

공식 코드

Investigating the Emergent Audio Classification Ability of ASR Foundation Models

https://github.com/junjun3518/vifs

공식 코드

VIFS: An End-to-End Variational Inference for Foley Sound Synthesis

https://github.com/justinlovelace/sesd

공식 코드

Sample-Efficient Diffusion for Text-To-Speech Synthesis

https://github.com/jxzhanggg/DistillAV

공식 코드

Audio-Visual Representation Learning via Knowledge Distillation from Speech Foundation Models

https://github.com/jzlianglu/pykaldi2

공식 코드

PyKaldi2: Yet another speech toolkit based on Kaldi and PyTorch

https://github.com/jzq2000/mooncast

공식 코드

MoonCast: High-Quality Zero-Shot Podcast Generation

https://github.com/k2-fsa/ZipVoice

공식 코드

ZipVoice: Fast and High-Quality Zero-Shot Text-to-Speech with Flow Matching

https://github.com/k2-fsa/icefall

공식 코드

Fast and parallel decoding for transducer

https://github.com/k2-fsa/icefall/tree/master/egs/libricss/SURT

공식 코드

SURT 2.0: Advances in Transducer-based Multi-talker Speech Recognition

https://github.com/k2-fsa/k2

공식 코드

Delay-penalized transducer for low-latency streaming ASR

https://github.com/kaihuhuang/language-group

공식 코드

Dynamic Language Group-Based MoE: Enhancing Code-Switching Speech Recognition with Hierarchical Routing

https://github.com/kaistmm/voxsim_trainer

공식 코드

VoxSim: A perceptual voice similarity dataset

https://github.com/kakaobrain/jejueo

공식 코드

Jejueo Datasets for Machine Translation and Speech Synthesis

https://github.com/kaldi-asr/kaldi

공식 코드

A Parallelizable Lattice Rescoring Strategy with Neural Language Models

https://github.com/kaldi-asr/kaldi/tree/master/egs/tedlium/s5_r3

공식 코드

TED-LIUM 3: twice as much data and corpus repartition for experiments on speaker adaptation

https://github.com/kamperh/bucktsong_segmentalist

공식 코드

A segmental framework for fully-unsupervised large-vocabulary speech recognition

https://github.com/kamperh/globalphone_awe

공식 코드

Improved acoustic word embeddings for zero-resource languages using multilingual transfer

https://github.com/kamperh/recipe_swbd_wordembeds

공식 코드

Deep convolutional acoustic word embeddings using word-pair side information

https://github.com/kathania/Interspeech-2020-Non-native-children-ASR

공식 코드

Data augmentation using prosody and false starts to recognize non-native children's speech

https://github.com/katiana22/tl-deeponet

공식 코드

Deep transfer operator learning for partial differential equations under conditional shift

https://github.com/kehanlu/mandarin-wav2vec2

공식 코드

A context-aware knowledge transferring strategy for CTC-based ASR

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