archinetai/audio-ai-timeline

A timeline of the latest AI models for audio generation, starting in 2023!

artificial-intelligenceaudio-generationmachine-learning

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Jan. 2023Aug. 2023März 2024Okt. 2024Mai 2025Dez. 2025Juli 2026

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Audio AI Timeline

Here we will keep track of the latest AI models for waveform based audio generation, starting in 2023!

2023

Date	Release [Samples]	Paper	Code	Trained Model
14.11	Mustango: Toward Controllable Text-to-Music Generation	arXiv	GitHub	Hugging Face
13.11	Music ControlNet: Multiple Time-varying Controls for Music Generation	arXiv	-	-
02.11	E3 TTS: Easy End-to-End Diffusion-based Text to Speech	arXiv	-	-
01.10	UniAudio: An Audio Foundation Model Toward Universal Audio Generation	arXiv	GitHub	-
24.09	VoiceLDM: Text-to-Speech with Environmental Context	arXiv	GitHub	-
05.09	PromptTTS 2: Describing and Generating Voices with Text Prompt	arXiv	-	-
14.08	SpeechX: Neural Codec Language Model as a Versatile Speech Transformer	arXiv	-	-
10.08	AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretraining	arXiv	GitHub	Hugging Face
09.08	JEN-1: Text-Guided Universal Music Generation with Omnidirectional Diffusion Models	arXiv	-	-
03.08	MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies	arXiv	GitHub	-
14.07	Mega-TTS 2: Zero-Shot Text-to-Speech with Arbitrary Length Speech Prompts	arXiv	-	-
10.07	VampNet: Music Generation via Masked Acoustic Token Modeling	arXiv	GitHub	-
22.06	AudioPaLM: A Large Language Model That Can Speak and Listen	arXiv	-	-
19.06	Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale	PDF	GitHub	-
08.06	MusicGen: Simple and Controllable Music Generation	arXiv	GitHub	Hugging Face Colab
06.06	Mega-TTS: Zero-Shot Text-to-Speech at Scale with Intrinsic Inductive Bias	arXiv	-	-
01.06	Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis	arXiv	GitHub	-
29.05	Make-An-Audio 2: Temporal-Enhanced Text-to-Audio Generation	arXiv	-	-
25.05	MeLoDy: Efficient Neural Music Generation	arXiv	-	-
18.05	CLAPSpeech: Learning Prosody from Text Context with Contrastive Language-Audio Pre-training	arXiv	-	-
18.05	SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities	arXiv	GitHub	-
16.05	SoundStorm: Efficient Parallel Audio Generation	arXiv	GitHub (unofficial)	-
03.05	Diverse and Vivid Sound Generation from Text Descriptions	arXiv	-	-
02.05	Long-Term Rhythmic Video Soundtracker	arXiv	GitHub	-
24.04	TANGO: Text-to-Audio generation using instruction tuned LLM and Latent Diffusion Model	PDF	GitHub	Hugging Face
18.04	NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers	arXiv	GitHub (unofficial)	-
10.04	Bark: Text-Prompted Generative Audio Model	-	GitHub	Hugging Face Colab
03.04	AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models	arXiv	-	-
08.03	VALL-E X: Speak Foreign Languages with Your Own Voice: Cross-Lingual Neural Codec Language Modeling	arXiv	-	-
27.02	I Hear Your True Colors: Image Guided Audio Generation	arXiv	GitHub	-
08.02	Noise2Music: Text-conditioned Music Generation with Diffusion Models	arXiv	-	-
04.02	Multi-Source Diffusion Models for Simultaneous Music Generation and Separation	arXiv	GitHub	-
30.01	SingSong: Generating musical accompaniments from singing	arXiv	-	-
30.01	AudioLDM: Text-to-Audio Generation with Latent Diffusion Models	arXiv	GitHub	Hugging Face
30.01	Moûsai: Text-to-Music Generation with Long-Context Latent Diffusion	arXiv	GitHub	-
29.01	Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models	PDF	-	-
28.01	Noise2Music	-	-	-
27.01	RAVE2 [Samples RAVE1]	arXiv	GitHub	-
26.01	MusicLM: Generating Music From Text	arXiv	GitHub (unofficial)	-
18.01	Msanii: High Fidelity Music Synthesis on a Shoestring Budget	arXiv	GitHub	Hugging Face Colab
16.01	ArchiSound: Audio Generation with Diffusion	arXiv	GitHub	-
05.01	VALL-E: Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers	arXiv	GitHub (unofficial) (demo)	-

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