EXPRESSO: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis
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Abstract (arXiv)
Recent work has shown that it is possible to resynthesize high-quality speech based, not on text, but on low bitrate discrete units that have been learned in a self-supervised fashion and can therefore capture expressive aspects of speech that are hard to transcribe (prosody, voice styles, non-verbal vocalization). The adoption of these methods is still limited by the fact that most speech synthesis datasets are read, severely limiting spontaneity and expressivity. Here, we introduce Expresso, a high-quality expressive speech dataset for textless speech synthesis that includes both read speech and improvised dialogues rendered in 26 spontaneous expressive styles. We illustrate the challenges and potentials of this dataset with an expressive resynthesis benchmark where the task is to encode the input in low-bitrate units and resynthesize it in a target voice while preserving content and style. We evaluate resynthesis quality with automatic metrics for different self-supervised discrete encoders, and explore tradeoffs between quality, bitrate and invariance to speaker and style. All the dataset, evaluation metrics and baseline models are open source
Key facts. Cited by 98 papers in the map (data through 14 Oct 2026). Builds on 22 of its 29 references that are in the map. First posted on arXiv 10 Aug 2023.
Builds on
22 of 29 references.
References · 22
- 2020wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representationscited by 3,905
- 2021HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Unitscited by 2,342
- 2019Common Voice: A Massively-Multilingual Speech Corpuscited by 1,384
- 2021SoundStream: An End-to-End Neural Audio Codeccited by 771
- 2023Neural Codec Language Models are Zero-Shot Text to Speech Synthesizerscited by 752
- 2022High Fidelity Neural Audio Compressioncited by 687
- 2021SUPERB: Speech processing Universal PERformance Benchmarkcited by 666
- 2022AudioLM: a Language Modeling Approach to Audio Generationcited by 616
- 2020MLS: A Large-Scale Multilingual Dataset for Speech Researchcited by 476
- 2019Libri-Light: A Benchmark for ASR with Limited or No Supervisioncited by 467
- 2021VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretationcited by 463
- 2021W2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-Trainingcited by 347
10 more
- 2021Generative Spoken Language Modeling from Raw Audiocited by 340
- 2021Speech Resynthesis from Discrete Disentangled Self-Supervised Representationscited by 243
- 2023Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervisioncited by 169
- 2020The Zero Resource Speech Benchmark 2021: Metrics and baselines for unsupervised spoken language modelingcited by 101
- 2021The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usagecited by 101
- 2020Self-training and Pre-training are Complementary for Speech Recognitioncited by 99
- 2018The Emotional Voices Database: Towards Controlling the Emotion Dimension in Voice Generation Systemscited by 61
- 2022textless-lib: a Library for Textless Spoken Language Processingcited by 28
- 2022Augmentation Invariant Discrete Representation for Generative Spoken Language Modelingcited by 17
- 2022ReVISE: Self-Supervised Speech Resynthesis with Visual Input for Universal and Generalized Speech Enhancementcited by 8
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Citing papers per year: 2023: 4; 2024: 30; 2025: 37; 2026: 27.
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- 2025CosyVoice 3: Towards In-the-wild Speech Generation via Scaling-up and Post-trainingcited by 150
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- 2023Audiobox: Unified Audio Generation with Natural Language Promptscited by 120
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- 2025Recent Advances in Discrete Speech Tokens: A Reviewcited by 43
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- 2026INSPIRE: A Benchmark for Instruction-Aware Speech Retrieval17 Aug 2026
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- 2026Synthesizing the Lombard Effect: Multi-Level Control of Speech Clarity and Vocal Effort in TTS22 Jun 2026
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- 2026MUGEN: Evaluating and Improving Multi-audio Understanding of Large Audio-Language Models10 Mar 2026
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- 2026Sylber 2.0: A Universal Syllable Embedding29 Jan 2026
- 2026Recovering Performance in Speech Emotion Recognition from Discrete Tokens via Multi-Layer Fusion and Paralinguistic Feature Integration23 Jan 2026
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- 2024SF-Speech: Straightened Flow for Zero-Shot Voice Clonecited by 4
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- 2026VoiceDesigner: Text-to-Voice Generation and Editing via Unified Diffusion Modeling and Data Augmentation12 Aug 2026
- 2026FlowW2N: Whispered-to-Normal Speech Conversion via Flow-Matching4 Mar 2026
- 2025UniverSR: Unified and Versatile Audio Super-Resolution via Vocoder-Free Flow Matching1 Oct 2025
- 2025CosyVoice 3: Towards In-the-wild Speech Generation via Scaling-up and Post-training23 May 2025
- 2025FlowDec: A flow-based full-band general audio codec with high perceptual quality3 Mar 2025
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- 2024DMOSpeech: Direct Metric Optimization via Distilled Diffusion Model in Zero-Shot Speech Synthesis14 Oct 2024
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- 2024RFWave: Multi-band Rectified Flow for Audio Waveform Reconstruction8 Mar 2024
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- 2026Fish Audio Drama 3 Technical Report13 Oct 2026
- 2025Spark-TTS: An Efficient LLM-Based Text-to-Speech Model with Single-Stream Decoupled Speech Tokenscited by 113
- 2024Recent Advances in Speech Language Models: A Surveycited by 87
- 2024Proactive Detection of Voice Cloning with Localized Watermarkingcited by 78
- 2025Recent Advances in Discrete Speech Tokens: A Reviewcited by 43
- 2024Let's Go Real Talk: Spoken Dialogue Model for Face-to-Face Conversationcited by 41
- 2023HierSpeech++: Bridging the Gap between Semantic and Acoustic Representation of Speech by Hierarchical Variational Inference for Zero-shot Speech Synthesiscited by 35
- 2024Scaling Properties of Speech Language Modelscited by 32
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- 2024Salmon: A Suite for Acoustic Language Model Evaluationcited by 24
- 2023EmphAssess : a Prosodic Benchmark on Assessing Emphasis Transfer in Speech-to-Speech Modelscited by 22
- 2024Sylber: Syllabic Embedding Representation of Speech from Raw Audiocited by 19
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- 2026EMODE: Dynamic Para-Semantic Experts for Emotion-Aware Speech Language Modeling3 Oct 2026
- 2026Beyond Text: LLM-Based Dimensional Emotion Evaluation in Multimodal Dialogue30 Sep 2026
- 2026A Harness for Synthesizing Diverse Naturalistic Full-Duplex Conversations23 Sep 2026
- 2026When Entanglement Lower-Bounds Disparity: Auditing and Repairing Demographic Fairness in Audio Understanding Models23 Sep 2026
- 2026ParA-LLM: A Unified Approach to Paralinguistic and Acoustic Speech Understanding19 Sep 2026
- 2026Heard but Not Heeded: Paralinguistic Information Encoding and Loss in Audio-Language Models1 Sep 2026
- 2026INSPIRE: A Benchmark for Instruction-Aware Speech Retrieval17 Aug 2026
- 2026Unlocking Speech-Text Compositional Powers: Instruction-Following Speech Language Models without Instruction Tuning2 Jul 2026
- 2026ParaPairAudioBench: Paralinguistic Pairwise Audio Benchmark for LALM-as-a-Judge23 Jun 2026
- 2026Synthesizing the Lombard Effect: Multi-Level Control of Speech Clarity and Vocal Effort in TTS22 Jun 2026
- 2026USAD 2.0: Scaling Representation Distillation for Universal Audio Understanding4 Jun 2026
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