SOTAVerified

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 AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 251–300 of 1249 papers

TitleStatusHype
KazEmoTTS: A Dataset for Kazakh Emotional Text-to-Speech SynthesisCode1
Removing Speaker Information from Speech Representation using Variable-Length Soft Pooling—0
CM-TTS: Enhancing Real Time Text-to-Speech Synthesis Efficiency through Weighted Samplers and Consistency ModelsCode2
Humane Speech Synthesis through Zero-Shot Emotion and Disfluency GenerationCode0
Training Generative Adversarial Network-Based Vocoder with Limited Data Using Augmentation-Conditional Discriminator—0
M^3AV: A Multimodal, Multigenre, and Multipurpose Audio-Visual Academic Lecture Dataset—0
An Empirical Study of Speech Language Models for Prompt-Conditioned Speech Synthesis—0
EM-TTS: Efficiently Trained Low-Resource Mongolian Lightweight Text-to-Speech—0
RFWave: Multi-band Rectified Flow for Audio Waveform ReconstructionCode2
NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion ModelsCode3
Towards Accurate Lip-to-Speech Synthesis in-the-Wild—0
VoxGenesis: Unsupervised Discovery of Latent Speaker Manifold for Speech Synthesis—0
Extending Multilingual Speech Synthesis to 100+ Languages without Transcribed Data—0
Towards Decoding Brain Activity During Passive Listening of SpeechCode0
Bayesian Parameter-Efficient Fine-Tuning for Overcoming Catastrophic ForgettingCode0
Speaking in Wavelet Domain: A Simple and Efficient Approach to Speed up Speech Diffusion Model—0
Speech Rhythm-Based Speaker Embeddings Extraction from Phonemes and Phoneme Duration for Multi-Speaker Speech Synthesis—0
EVA-GAN: Enhanced Various Audio Generation via Scalable Generative Adversarial NetworksCode2
SpeechComposer: Unifying Multiple Speech Tasks with Prompt Composition—0
SpecDiff-GAN: A Spectrally-Shaped Noise Diffusion GAN for Speech and Music Synthesis—0
MunTTS: A Text-to-Speech System for Mundari—0
Empowering Communication: Speech Technology for Indian and Western Accents through AI-powered Speech Synthesis—0
Ultra-lightweight Neural Differential DSP Vocoder For High Quality Speech Synthesis—0
ED-TTS: Multi-Scale Emotion Modeling using Cross-Domain Emotion Diarization for Emotional Speech Synthesis—0
Noise-robust zero-shot text-to-speech synthesis conditioned on self-supervised speech-representation model with adapters—0
StreamVC: Real-Time Low-Latency Voice Conversion—0
Incremental FastPitch: Chunk-based High Quality Text to Speech—0
Boosting Large Language Model for Speech Synthesis: An Empirical Study—0
Normalization of Lithuanian Text Using Regular Expressions—0
Creating New Voices using Normalizing Flows—0
BrainTalker: Low-Resource Brain-to-Speech Synthesis with Transfer Learning using Wav2Vec 2.0—0
Evaluating Speech-in-Speech Perception via a Humanoid Robot—0
Emotion Rendering for Conversational Speech Synthesis with Heterogeneous Graph-Based Context ModelingCode1
StyleSpeech: Self-supervised Style Enhancing with VQ-VAE-based Pre-training for Expressive Audiobook Speech Synthesis—0
MM-TTS: Multi-modal Prompt based Style Transfer for Expressive Text-to-Speech Synthesis—0
CONCSS: Contrastive-based Context Comprehension for Dialogue-appropriate Prosody in Conversational Speech Synthesis—0
What to Remember: Self-Adaptive Continual Learning for Audio Deepfake DetectionCode1
Neural Text to Articulate Talk: Deep Text to Audiovisual Speech Synthesis achieving both Auditory and Photo-realismCode1
Neural Speech Embeddings for Speech Synthesis Based on Deep Generative Networks—0
An Experimental Study: Assessing the Combined Framework of WavLM and BEST-RQ for Text-to-Speech Synthesis—0
Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesis—0
Code-Mixed Text to Speech Synthesis under Low-Resource Constraints—0
Learning Arousal-Valence Representation from Categorical Emotion Labels of SpeechCode1
Guided Flows for Generative Modeling and Decision Making—0
HierSpeech++: Bridging the Gap between Semantic and Acoustic Representation of Speech by Hierarchical Variational Inference for Zero-shot Speech SynthesisCode3
APNet2: High-quality and High-efficiency Neural Vocoder with Direct Prediction of Amplitude and Phase SpectraCode1
ELF: Encoding Speaker-Specific Latent Speech Feature for Speech Synthesis—0
LE-SSL-MOS: Self-Supervised Learning MOS Prediction with Listener Enhancement—0
ChatGPT in the context of precision agriculture data analyticsCode0
Improved Child Text-to-Speech Synthesis through Fastpitch-based Transfer LearningCode1
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All datasetsLibriTTSNorth American EnglishLJSpeechMandarin ChineseBlizzard Challenge 2013

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PeriodWave-Turbo-LPESQ4.45—Unverified
2BigVGAN-v2PESQ4.36—Unverified
3EVA-GAN-bigPESQ4.35—Unverified
4PeriodWave + FreeUPESQ4.25—Unverified
5RFWavePESQ4.23—Unverified
6BigVSAN (w/ snakebeta)PESQ4.12—Unverified
7BigVSANPESQ4.12—Unverified
8EVA-GAN-basePESQ4.03—Unverified
9BigVGANPESQ4.03—Unverified
10VocosPESQ3.7—Unverified
#ModelMetricClaimedVerifiedStatus
1Tacotron 2Mean Opinion Score4.53—Unverified
2WaveNet (Linguistic)Mean Opinion Score4.34—Unverified
3WaveNet (L+F)Mean Opinion Score4.21—Unverified
4TacotronMean Opinion Score4—Unverified
5HMM-driven concatenativeMean Opinion Score3.86—Unverified
6LSTM-RNN parametricMean Opinion Score3.67—Unverified
7meansMean Opinion Score0—Unverified
#ModelMetricClaimedVerifiedStatus
1BDDM vocoderMean Opinion Score4.48—Unverified
2DiffWave LARGEMean Opinion Score4.44—Unverified
3Neural HMMMean Opinion Score3.24—Unverified
4Neural HMM Ablation with 1 state per phoneMean Opinion Score2.68—Unverified
#ModelMetricClaimedVerifiedStatus
1WaveNet (L+F)Mean Opinion Score4.08—Unverified
2LSTM-RNN parametricMean Opinion Score3.79—Unverified
3HMM-driven concatenativeMean Opinion Score3.47—Unverified
#ModelMetricClaimedVerifiedStatus
1SampleRNN (2-tier)NLL1.39—Unverified
2SampleRNN (3-tier)NLL1.39—Unverified