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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/dannigt/NMTGMinor.lowLatency

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Low-Latency Sequence-to-Sequence Speech Recognition and Translation by Partial Hypothesis Selection

https://github.com/dapwner/cvae-tacotron

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Accented Text-to-Speech Synthesis with a Conditional Variational Autoencoder

https://github.com/dataoceanai/dolphin

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Dolphin: A Large-Scale Automatic Speech Recognition Model for Eastern Languages

https://github.com/datasec-lab/certifiedattack

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Certifiable Black-Box Attacks with Randomized Adversarial Examples: Breaking Defenses with Provable Confidence

https://github.com/david-gimeno/evaluating-end2end-spanish-lipreading

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Evaluation of End-to-End Continuous Spanish Lipreading in Different Data Conditions

https://github.com/david-gimeno/lip-rtve

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LIP-RTVE: An Audiovisual Database for Continuous Spanish in the Wild

https://github.com/david-gimeno/tailored-avsr

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Tailored Design of Audio-Visual Speech Recognition Models using Branchformers

https://github.com/davidsroth/hubert-disfl

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End-to-End Speech Recognition and Disfluency Removal with Acoustic Language Model Pretraining

https://github.com/dcgm/softctc

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SoftCTC -- Semi-Supervised Learning for Text Recognition using Soft Pseudo-Labels

https://github.com/ddlbojack/mt4ssl

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MT4SSL: Boosting Self-Supervised Speech Representation Learning by Integrating Multiple Targets

https://github.com/declare-lab/adapter-mix

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ADAPTERMIX: Exploring the Efficacy of Mixture of Adapters for Low-Resource TTS Adaptation

https://github.com/declare-lab/hypertts

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HyperTTS: Parameter Efficient Adaptation in Text to Speech using Hypernetworks

https://github.com/declare-lab/speech-adapters

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Evaluating Parameter-Efficient Transfer Learning Approaches on SURE Benchmark for Speech Understanding

https://github.com/deepvk/emospeech

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EmoSpeech: Guiding FastSpeech2 Towards Emotional Text to Speech

https://github.com/dennishgj/stf_acsr

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Lend a Hand: Semi Training-Free Cued Speech Recognition via MLLM-Driven Hand Modeling for Barrier-free Communication

https://github.com/descriptinc/melgan-neurips

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MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis

https://github.com/desh2608/diarizer

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GPU-accelerated Guided Source Separation for Meeting Transcription

https://github.com/desh2608/gss

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GPU-accelerated Guided Source Separation for Meeting Transcription

https://github.com/dgaddy/silent_speech

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Digital Voicing of Silent Speech

https://github.com/diabolocom-research/conversationaldataset

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ASR Benchmarking: Need for a More Representative Conversational Dataset

https://github.com/diamondfan/fairseq

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Towards Better Domain Adaptation for Self-supervised Models: A Case Study of Child ASR

https://github.com/didi/delta

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DELTA: A DEep learning based Language Technology plAtform

https://github.com/didzis/tensorflowAMR

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Character-Level Neural Translation for Multilingual Media Monitoring in the SUMMA Project

https://github.com/digitalphonetics/ims-toucan

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Meta Learning Text-to-Speech Synthesis in over 7000 Languages

https://github.com/digitalphonetics/multilingual-seq2seq-slu

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Leveraging Multilingual Self-Supervised Pretrained Models for Sequence-to-Sequence End-to-End Spoken Language Understanding

https://github.com/digitalphonetics/speaker-anonymization

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Speaker Anonymization with Phonetic Intermediate Representations

https://github.com/dimitriStoidis/GenGAN

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Generating gender-ambiguous voices for privacy-preserving speech recognition

https://github.com/dmitriy-serdyuk/twin-net

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Twin Networks: Matching the Future for Sequence Generation

https://github.com/dmse4tts/dmse4tts

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Diffusion-Based Mel-Spectrogram Enhancement for Personalized Speech Synthesis with Found Data

https://github.com/dqqcasia/st

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Consecutive Decoding for Speech-to-text Translation

https://github.com/dr-pato/ssgd

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Low-Latency Speech Separation Guided Diarization for Telephone Conversations

https://github.com/dreamtheater123/awesome-speechlm-survey

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Recent Advances in Speech Language Models: A Survey

https://github.com/drumpt/sgem

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SGEM: Test-Time Adaptation for Automatic Speech Recognition via Sequential-Level Generalized Entropy Minimization

https://github.com/dstein64/multi-adv-detect

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Measuring the Contribution of Multiple Model Representations in Detecting Adversarial Instances

https://github.com/duyichao/e2e-st-tda

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Regularizing End-to-End Speech Translation with Triangular Decomposition Agreement

https://github.com/dwgnr/optimized-speculative-sampling

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Optimized Speculative Sampling for GPU Hardware Accelerators

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