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/idiap/slu_representations

공식 코드

Effectiveness of Text, Acoustic, and Lattice-based representations in Spoken Language Understanding tasks

https://github.com/idiap/sparse

공식 코드

Exploring neural oscillations during speech perception via surrogate gradient spiking neural networks

https://github.com/idiap/ssl-human-animal

공식 코드

Comparing Self-Supervised Learning Models Pre-Trained on Human Speech and Animal Vocalizations for Bioacoustics Processing

https://github.com/idiap/w2v2-air-traffic

공식 코드

How Does Pre-trained Wav2Vec 2.0 Perform on Domain Shifted ASR? An Extensive Benchmark on Air Traffic Control Communications

https://github.com/ihungalexhsu/NIESR-code

공식 코드

NIESR: Nuisance Invariant End-to-end Speech Recognition

https://github.com/iip-sogang/olkavs-avspeech

공식 코드

OLKAVS: An Open Large-Scale Korean Audio-Visual Speech Dataset

https://github.com/iiscleap/joint_fdlp_envelope_dereverberation_e2e_asr

공식 코드

End-to-End Speech Recognition With Joint Dereverberation Of Sub-Band Autoregressive Envelopes

https://github.com/imxtx/awesome-controllabe-speech-synthesis

공식 코드

Towards Controllable Speech Synthesis in the Era of Large Language Models: A Survey

https://github.com/indonlp/nusa-crowd

공식 코드

NusaCrowd: Open Source Initiative for Indonesian NLP Resources

https://github.com/intel/neural-compressor

공식 코드

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference

https://github.com/is2ai/kazemotts

공식 코드

KazEmoTTS: A Dataset for Kazakh Emotional Text-to-Speech Synthesis

https://github.com/is2ai/turkictts

공식 코드

Multilingual Text-to-Speech Synthesis for Turkic Languages Using Transliteration

https://github.com/jacobkrantz/lstm-syllabify

공식 코드

Language-Agnostic Syllabification with Neural Sequence Labeling

https://github.com/jairsan/segmentation-free_streaming_machine_translation

공식 코드

Segmentation-Free Streaming Machine Translation

https://github.com/jakariaemon/WSI

공식 코드

Whisper Speaker Identification: Leveraging Pre-Trained Multilingual Transformers for Robust Speaker Embeddings

https://github.com/janvainer/speedyspeech

공식 코드

SpeedySpeech: Efficient Neural Speech Synthesis

https://github.com/jason7580/End-to-End-ASR-and-Dementia-detection-system

공식 코드

Dementia Assessment Using Mandarin Speech with an Attention-based Speech Recognition Encoder

https://github.com/jasonppy/promptingwhisper

공식 코드

Prompting the Hidden Talent of Web-Scale Speech Models for Zero-Shot Task Generalization

https://github.com/jb1999/eesen

공식 코드

Improving LSTM-CTC based ASR performance in domains with limited training data

https://github.com/jctian98/e2e_lfmmi

공식 코드

Consistent Training and Decoding For End-to-end Speech Recognition Using Lattice-free MMI

https://github.com/jeonghun0716/visual-speech-recognition-for-low-resource-languages

공식 코드

Visual Speech Recognition for Languages with Limited Labeled Data using Automatic Labels from Whisper

https://github.com/jeongwhanchoi/gfsa

공식 코드

Graph Convolutions Enrich the Self-Attention in Transformers!

https://github.com/jeromeni/wholeword-uasr-jstti

공식 코드

Towards Unsupervised Speech Recognition Without Pronunciation Models

https://github.com/jethrowangsir/cada-gan

공식 코드

Channel-Aware Domain-Adaptive Generative Adversarial Network for Robust Speech Recognition

https://github.com/jhauret/vibravox

공식 코드

Vibravox: A Dataset of French Speech Captured with Body-conduction Audio Sensors

https://github.com/jhuang448/MultilingualALT

공식 코드

Towards Building an End-to-End Multilingual Automatic Lyrics Transcription Model

https://github.com/jiamin1013/mixrep-espnet

공식 코드

MixRep: Hidden Representation Mixup for Low-Resource Speech Recognition

https://github.com/jianboma/low_latency_attention_module

공식 코드

A low latency attention module for streaming self-supervised speech representation learning

https://github.com/jik876/hifi-gan

공식 코드

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

https://github.com/jimmyma99/teleantifraud

공식 코드

TeleAntiFraud-28k: An Audio-Text Slow-Thinking Dataset for Telecom Fraud Detection

https://github.com/jindongwang/transferlearning

공식 코드

Exploiting Adapters for Cross-lingual Low-resource Speech Recognition

https://github.com/jindongwang/transferlearning/tree/master/code/ASR

공식 코드

Exploiting Adapters for Cross-lingual Low-resource Speech Recognition

https://github.com/jindongwang/transferlearning/tree/master/code/ASR/CMatch

공식 코드

Cross-domain Speech Recognition with Unsupervised Character-level Distribution Matching

https://github.com/jingli9111/RUM

공식 코드

Rotational Unit of Memory

https://github.com/jingli9111/RUM-Tensorflow

공식 코드

Rotational Unit of Memory

https://github.com/jinyyy666/mm-bp-snn

공식 코드

Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks

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