Speech Synthesis

Speech synthesis is the task of generating speech from some other modality like text, lip movements etc.

Please note that the leaderboards here are not really comparable between studies - as they use mean opinion score as a metric and collect different samples from Amazon Mechnical Turk.

( Image credit: WaveNet: A generative model for raw audio )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 41–50 of 1249 papers

Title	Date	Tasks	Status	Hype	Score
BigVSAN: Enhancing GAN-based Neural Vocoders with Slicing Adversarial Network	Sep 6, 2023	Generative Adversarial NetworkSpeech Synthesis	CodeCode Available	2	5
PodAgent: A Comprehensive Framework for Podcast Generation	Mar 1, 2025	Audio GenerationSpeech Synthesis	CodeCode Available	2	5
Lina-Speech: Gated Linear Attention is a Fast and Parameter-Efficient Learner for text-to-speech synthesis	Oct 30, 2024	Speech Synthesistext-to-speech	CodeCode Available	2	5
A Vector Quantized Approach for Text to Speech Synthesis on Real-World Spontaneous Speech	Feb 8, 2023	Code GenerationDiversity	CodeCode Available	2	5
Improving Opus Low Bit Rate Quality with Neural Speech Synthesis	Aug 10, 2020	DecoderSpeech Synthesis	CodeCode Available	2	5
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis	Oct 12, 2020	CPUGPU	CodeCode Available	2	5
HiFTNet: A Fast High-Quality Neural Vocoder with Harmonic-plus-Noise Filter and Inverse Short Time Fourier Transform	Sep 18, 2023	Speech Synthesis	CodeCode Available	2	5
iSTFTNet: Fast and Lightweight Mel-Spectrogram Vocoder Incorporating Inverse Short-Time Fourier Transform	Mar 4, 2022	Speech Synthesistext-to-speech	CodeCode Available	2	5
Generative Adversarial Training for Text-to-Speech Synthesis Based on Raw Phonetic Input and Explicit Prosody Modelling	Oct 14, 2023	Speech Synthesistext-to-speech	CodeCode Available	2	5
Conditional Diffusion Probabilistic Model for Speech Enhancement	Feb 10, 2022	modelSpeech Enhancement	CodeCode Available	2	5

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All datasets LibriTTS North American English LJSpeech Mandarin Chinese Blizzard Challenge 2013

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	PeriodWave-Turbo-L	PESQ	4.45	—	Unverified
2	BigVGAN-v2	PESQ	4.36	—	Unverified
3	EVA-GAN-big	PESQ	4.35	—	Unverified
4	PeriodWave + FreeU	PESQ	4.25	—	Unverified
5	RFWave	PESQ	4.23	—	Unverified
6	BigVSAN (w/ snakebeta)	PESQ	4.12	—	Unverified
7	BigVSAN	PESQ	4.12	—	Unverified
8	EVA-GAN-base	PESQ	4.03	—	Unverified
9	BigVGAN	PESQ	4.03	—	Unverified
10	Vocos	PESQ	3.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Tacotron 2	Mean Opinion Score	4.53	—	Unverified
2	WaveNet (Linguistic)	Mean Opinion Score	4.34	—	Unverified
3	WaveNet (L+F)	Mean Opinion Score	4.21	—	Unverified
4	Tacotron	Mean Opinion Score	4	—	Unverified
5	HMM-driven concatenative	Mean Opinion Score	3.86	—	Unverified
6	LSTM-RNN parametric	Mean Opinion Score	3.67	—	Unverified
7	means	Mean Opinion Score	0	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BDDM vocoder	Mean Opinion Score	4.48	—	Unverified
2	DiffWave LARGE	Mean Opinion Score	4.44	—	Unverified
3	Neural HMM	Mean Opinion Score	3.24	—	Unverified
4	Neural HMM Ablation with 1 state per phone	Mean Opinion Score	2.68	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	WaveNet (L+F)	Mean Opinion Score	4.08	—	Unverified
2	LSTM-RNN parametric	Mean Opinion Score	3.79	—	Unverified
3	HMM-driven concatenative	Mean Opinion Score	3.47	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SampleRNN (2-tier)	NLL	1.39	—	Unverified
2	SampleRNN (3-tier)	NLL	1.39	—	Unverified