https://github.com/hieuthi/llamapartialspoof
공식 코드LlamaPartialSpoof: An LLM-Driven Fake Speech Dataset Simulating Disinformation Generation
Papers with Code 아카이브
Audio Generation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 4
- 평가표
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- 보존된 평가 기록
- 26
Audio generation (synthesis) is the task of generating raw audio such as speech.
<span style="color:grey; opacity: 0.6">( Image credit: MelNet )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/hjkng/audiogenX
공식 코드AudioGenX: Explainability on Text-to-Audio Generative Models
https://github.com/hkchengrex/MMAudio
공식 코드MMAudio: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis
https://github.com/hubertsiuzdak/snac
공식 코드https://github.com/ilpoviertola/V-AURA
공식 코드https://github.com/index-tts/index-tts
공식 코드IndexTTS: An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System
https://github.com/jaxwagner/sound_from_video
공식 코드An Initial Exploration: Learning to Generate Realistic Audio for Silent Video
https://github.com/jinbo-hu/dcase2022-task3
공식 코드https://github.com/jishengpeng/languagecodec
공식 코드Language-Codec: Bridging Discrete Codec Representations and Speech Language Models
https://github.com/jjunak-yun/FLowHigh_code
공식 코드FLowHigh: Towards Efficient and High-Quality Audio Super-Resolution with Single-Step Flow Matching
https://github.com/joansj/blow
공식 코드Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion
https://github.com/jsalt2022codeswitchingasr/generating-code-switched-audio
공식 코드Speech collage: code-switched audio generation by collaging monolingual corpora
https://github.com/judejiwoo/nmt
공식 코드https://github.com/jwliu-cc/svg
공식 코드Sounding Video Generator: A Unified Framework for Text-guided Sounding Video Generation
https://github.com/kikyo-16/airgen
공식 코드https://github.com/kong13661/pia
공식 코드An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization
https://github.com/kyungsukim42/tokensynth
공식 코드TokenSynth: A Token-based Neural Synthesizer for Instrument Cloning and Text-to-Instrument
https://github.com/litwellchi/mmtrail
공식 코드MMTrail: A Multimodal Trailer Video Dataset with Language and Music Descriptions
https://github.com/liuhuadai/omniaudio
공식 코드https://github.com/liusongxiang/StarGAN-Voice-Conversion
공식 코드Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion
https://github.com/liuzh-19/songgen
공식 코드SongGen: A Single Stage Auto-regressive Transformer for Text-to-Song Generation
https://github.com/magenta/ddsp
공식 코드https://github.com/maswang32/hearinganythinganywhere
공식 코드https://github.com/merlresearch/ranf-hrtf
공식 코드Retrieval-Augmented Neural Field for HRTF Upsampling and Personalization
https://github.com/microsoft/NeuralSpeech
공식 코드PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior
https://github.com/microsoft/i-Code/tree/main/i-Code-V3
공식 코드https://github.com/microsoft/muzic
공식 코드https://github.com/mikiyaxi/watermark-audio-diffusion
공식 코드Invisible Watermarking for Audio Generation Diffusion Models
https://github.com/mindslab-ai/nuwave
공식 코드NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling
https://github.com/mindslab-ai/nuwave2
공식 코드NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates
https://github.com/ming024/FastSpeech2
공식 코드https://github.com/mirkomarras/dl-master-voices
공식 코드https://github.com/ml-postech/lisa
공식 코드Learning Continuous Representation of Audio for Arbitrary Scale Super Resolution
https://github.com/naver-ai/rewas
공식 코드Read, Watch and Scream! Sound Generation from Text and Video
https://github.com/ncarraz/AFILM
공식 코드https://github.com/ndkgit339/fastspeech2-filled_pause_speech_synthesis
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.