Papers with Code 아카이브

Speech Extraction

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

0

평가표

1

보존된 평가 기록

1

코드

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

https://github.com/NVIDIA/NeMo

공식 코드

Generative Speech Foundation Model Pretraining for High-Quality Speech Extraction and Restoration

https://github.com/annie-gu/MVAEBasedBSE

공식 코드

Target Speech Extraction Based on Blind Source Separation and X-vector-based Speaker Selection Trained with Data Augmentation

https://github.com/butspeechfit/ravdess2mix

공식 코드

Analysis of impact of emotions on target speech extraction and speech separation

https://github.com/butspeechfit/speakerbeam

공식 코드

Neural Target Speech Extraction: An Overview

https://github.com/jyhan03/icassp22-dataset

공식 코드

DPCCN: Densely-Connected Pyramid Complex Convolutional Network for Robust Speech Separation And Extraction

https://github.com/mingyue66/textrolmix

공식 코드

Beyond Speaker Identity: Text Guided Target Speech Extraction

https://github.com/vb000/lookoncetohear

공식 코드

Look Once to Hear: Target Speech Hearing with Noisy Examples

https://github.com/wanghelin1997/solospeech

공식 코드

SoloSpeech: Enhancing Intelligibility and Quality in Target Speech Extraction through a Cascaded Generative Pipeline

https://github.com/jyhan03/channel-decorrelation

Improving speaker discrimination of target speech extraction with time-domain SpeakerBeam

https://github.com/sp-uhh/deep-non-linear-filter

On the Role of Spatial, Spectral, and Temporal Processing for DNN-based Non-linear Multi-channel Speech Enhancement

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