Speech Quality Assessment

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10 papers in the last four weeks, up 233% on the four weeks before. 0.1% of all new papers.

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ANCHOR: Autoregressive Non-intrusive Chunk-Ordered Refinement for Joint Multi-Resolution Speech Quality Modeling
Jun 8, 2026Zhuoyan Tao, Jiatong Shi, Hye-jin Shim +1Speech Quality Assessment Autoregressive Decoding
University of Southern California, USA · Carnegie Mellon University, USA
Benchmarking Speech-to-Speech Translation Models
Jun 2, 2026Alkis Koudounas, Hayato Futami, Quentin Jodelet +3Speech Translation Speech Quality Assessment
Sony Group Corporation, Japan · Carnegie Mellon University, USA
ChildVox: A Speech, Audio, and Large Audio-Language Model Benchmark in Understanding and Characterizing Sound across Childhood
May 28, 2026Tiantian Feng, Anfeng Xu, Xuan Shi +10Audio-Language Model Evaluation Speech Quality Assessment
University of Southern California · The Ohio State University · University of California, Los Angeles +3
PashtoTTS-Bench: automated screening for low-resource non-Latin-script text-to-speech
May 26, 2026Hanif RahmanSpeech Generation Evaluation TTS Evaluation
aIndependent Researcher
Frame-Aligned Fusion of Canary and WavLM for Non-Intrusive Intelligibility Prediction of Hearing-Aid-Processed Speech
May 22, 2026Kazushi NakazawaSpeech Quality Assessment Speech Processing
Advanced Media, Inc. Tokyo, Japan
UniSRM: A Unified Speech Reward Model for Reasoning-Based Fine-grained Assessment
May 22, 2026Yuanyuan Wang, Dongchao Yang, Yayue Deng +4Reward Modeling Speech Generation Evaluation
The Chinese University of Hong Kong · Tsinghua University · Independent Researcher
Evaluating Speech Articulation Synthesis with Articulatory Phoneme Recognition
May 20, 2026Vinicius Ribeiro, Yves LaprieTTS Synthesis Speech Quality Assessment
Universit´e de Lorraine, CNRS, Inria, LORIA · CNRS · Inria +1
JASTIN: Aligning LLMs for Zero-Shot Audio and Speech Evaluation via Natural Language Instructions
May 6, 2026Leying Zhang, Bowen Shi, Haibin Wu +2Audio-Language Model Evaluation Zero-Shot Learning
Auditory Cognition and Computational Acoustics Lab, School of Computer Science& MoE Key Laboratory of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, 200240 P. R. China · independent researchers, United States
The False Resonance: A Critical Examination of Emotion Embedding Similarity for Speech Generation Evaluation
Apr 29, 2026Yun-Shao Tsai, Yi-Cheng Lin, Huang-Cheng Chou +5TTS Synthesis Speech Generation Evaluation
Graduate Institute of Communication Engineering, National Taiwan University, Taiwan · Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, USA · Gilbert AI Lab, USA +2
PSP: An Interpretable Per-Dimension Accent Benchmark for Indic Text-to-Speech
Apr 28, 2026Venkata Pushpak Teja MentaTTS Synthesis Speech Generation Evaluation
Praxel Ventures
TTS-PRISM: A Perceptual Reasoning and Interpretable Speech Model for Fine-Grained Diagnosis
Apr 24, 2026Xi Wang, Jie Wang, Xingchen Song +8TTS Synthesis Speech Generation Evaluation
Tsinghua University, China · MiLM Plus, Xiaomi Inc., China · The University of Tokyo, Japan
Preferences of a Voice-First Nation: Large-Scale Pairwise Evaluation and Preference Analysis for TTS in Indian Languages
Apr 23, 2026Srija Anand, Ashwin Sankar, Ishvinder Sethi +10Pairwise Preference Learning Human Preference Evaluation
Indian Institute of Technology Madras, India · AI4Bharat, India · Josh Talks, India
Voice Mapping of Text-to-Speech Systems: A Metric-Based Approach for Voice Quality Assessment
Apr 21, 2026Huanchen Cai, Sten TernströmTTS Synthesis Speech Quality Assessment
Division of Speech, Music and Hearing, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, SE-100 44 Stockholm, Sweden
NVV-SuperBench: Beyond Words, Beyond Quality-Benchmarking Nonverbal Vocalizations in Speech Generation
Apr 17, 2026Liumeng Xue, Weizhen Bian, Jiahao Pan +9Speech Generation Evaluation Speech Quality Assessment
Nanjing University · The Hong Kong University of Science and Technology · The Chinese University of Hong Kong +4
PathBench: Speech Intelligibility Benchmark for Automatic Pathological Speech Assessment
Mar 9, 2026Bence Mark Halpern, Thomas Tienkamp, Defne Abur +1Benchmark Design Speech Quality Assessment
1Nagoya University, Japan · Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany · University of Groningen, The Netherlands

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ANCHOR: Autoregressive Non-intrusive Chunk-Ordered Refinement for Joint Multi-Resolution Speech Quality Modeling

Zhuoyan Tao, Jiatong Shi, Hye-jin Shim, Shinji Watanabe

University of Southern California, USA · Carnegie Mellon University, USA

Speech Quality Assessment Autoregressive Decoding

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While speech quality is typically assessed on complete utterances, streaming and generative systems require incremental estimation from partial audio. Existing predictors assume full context, degrading on prefix-constrained inputs. Extending ARECHO, we propose ANCHOR, reformulating incremental assessment as a multi-resolution autoregressive task. It models chunk- and utterance-level quality within a single decoder using dual-resolution tokens and a resolution-aware hierarchy for coarse-to-fine refinement. Experiments show substantial robustness under partial input, including a 48% PLCMOS error reduction on 2-second prefixes. Convergence analysis reveals a 4-6 s effective perceptual context horizon. A stress test further isolates structured extrapolation biases under localized corruption. Results demonstrate that hierarchical supervision improves incremental prediction and elucidates how perceptual quality accumulates over time.

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Latest papers 45