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Speaker Identification

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전체 기법전체 데이터셋

하위 태스크

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평가표

4

보존된 평가 기록

15

코드

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

https://github.com/AI4Bharat/indicSUPERB

공식 코드

IndicSUPERB: A Speech Processing Universal Performance Benchmark for Indian languages

https://github.com/Audio-WestlakeU/audiossl/tree/main/audiossl/methods/atst

공식 코드

ATST: Audio Representation Learning with Teacher-Student Transformer

https://github.com/Edresson/Speech2Phone

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Speech2Phone: A Novel and Efficient Method for Training Speaker Recognition Models

https://github.com/IIP-Sogang/speech-pooling-benchmark

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Unsupervised Speech Representation Pooling Using Vector Quantization

https://github.com/JasonForJoy/MPC-BERT

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MPC-BERT: A Pre-Trained Language Model for Multi-Party Conversation Understanding

https://github.com/JunzheJosephZhu/Identify-Speakers-in-Cocktail-Parties-with-E2E-Attention

공식 코드

Identify Speakers in Cocktail Parties with End-to-End Attention

https://github.com/KinWaiCheuk/MCE2018

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Latent space representation for multi-target speaker detection and identification with a sparse dataset using Triplet neural networks

https://github.com/LIN-SHANG/InstructERC

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InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models

https://github.com/NaoyukiKanda/LibriSpeechMix

공식 코드

Minimum Bayes Risk Training for End-to-End Speaker-Attributed ASR

https://github.com/PaddlePaddle/PaddleSpeech

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PaddleSpeech: An Easy-to-Use All-in-One Speech Toolkit

https://github.com/PolyAI-LDN/evi-paper

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EVI: Multilingual Spoken Dialogue Tasks and Dataset for Knowledge-Based Enrolment, Verification, and Identification

https://github.com/TAMU-VITA/AutoSpeech

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AutoSpeech: Neural Architecture Search for Speaker Recognition

https://github.com/YuanGongND/ssast

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SSAST: Self-Supervised Audio Spectrogram Transformer

https://github.com/adobe-research/speaker-identification

공식 코드

Identifying Speakers in Dialogue Transcripts: A Text-based Approach Using Pretrained Language Models

https://github.com/ahnjaewoo/mpchat

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MPCHAT: Towards Multimodal Persona-Grounded Conversation

https://github.com/anicolson/SPN-ASI

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Sum-Product Networks for Robust Automatic Speaker Identification

https://github.com/areffarhadi/gammatonegram_cnn_dysarthric_speech

공식 코드

Gammatonegram Representation for End-to-End Dysarthric Speech Processing Tasks: Speech Recognition, Speaker Identification, and Intelligibility Assessment

https://github.com/asappresearch/slue-toolkit

공식 코드

SLUE: New Benchmark Tasks for Spoken Language Understanding Evaluation on Natural Speech

https://github.com/bepierre/SpeechVGG

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Word-level Embeddings for Cross-Task Transfer Learning in Speech Processing

https://github.com/coolEphemeroptera/AESRC2020

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Deep Discriminative Feature Learning for Accent Recognition

https://github.com/dawenl/pof

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A Generative Product-of-Filters Model of Audio

https://github.com/emanuelevivoli/CoMix

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CoMix: A Comprehensive Benchmark for Multi-Task Comic Understanding

https://github.com/emanuelevivoli/comicap

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ComiCap: A VLMs pipeline for dense captioning of Comic Panels

https://github.com/facebookresearch/audiomae

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Masked Autoencoders that Listen

https://github.com/facebookresearch/learning-audio-visual-dereverberation

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Learning Audio-Visual Dereverberation

https://github.com/facebookresearch/speech-resynthesis

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Speech Resynthesis from Discrete Disentangled Self-Supervised Representations

https://github.com/google-research/google-research/tree/master/cola

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Contrastive Learning of General-Purpose Audio Representations

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/hmohebbi/disentangling_representations

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Disentangling Textual and Acoustic Features of Neural Speech Representations

https://github.com/idiap/pddetection-reps-learning

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Supervised Speech Representation Learning for Parkinson's Disease Classification

https://github.com/irfannafiz/recme

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Towards Speaker Identification with Minimal Dataset and Constrained Resources using 1D-Convolution Neural Network

https://github.com/jakariaemon/WSI

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

https://github.com/joaoantoniocn/AM-MobileNet1D

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AM-MobileNet1D: A Portable Model for Speaker Recognition

https://github.com/jwhitehill/compositionalclustering

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Compositional Clustering: Applications to Multi-Label Object Recognition and Speaker Identification

https://github.com/kingformatty/NUSD

공식 코드

Non-uniform Speaker Disentanglement For Depression Detection From Raw Speech Signals

https://github.com/magnumresearchgroup/Fastaudio

공식 코드

FastAudio: A Learnable Audio Front-End for Spoof Speech Detection

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