Buchumschlag

Rethinking Mean Opinion Scores in Speech Quality Assessment: Aggregation through Quantized Distribution Fitting

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Kondo, Yuto, Kameoka, Hirokazu, Tanaka, Kou, Kaneko, Takuhiro
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Sound Audio and Speech Processing
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

JIS: A Speech Corpus of Japanese Idol Speakers with Various Speaking Styles
von: Kondo, Yuto, et al.
Veröffentlicht: (2025)

LatentVoiceGrad: Nonparallel Voice Conversion with Latent Diffusion/Flow-Matching Models
von: Kameoka, Hirokazu, et al.
Veröffentlicht: (2025)

Selecting N-lowest scores for training MOS prediction models
von: Kondo, Yuto, et al.
Veröffentlicht: (2025)

MeanVoiceFlow: One-step Nonparallel Voice Conversion with Mean Flows
von: Kaneko, Takuhiro, et al.
Veröffentlicht: (2026)

Vocoder-Projected Feature Discriminator
von: Kaneko, Takuhiro, et al.
Veröffentlicht: (2025)

FasterVoiceGrad: Faster One-step Diffusion-Based Voice Conversion with Adversarial Diffusion Conversion Distillation
von: Kaneko, Takuhiro, et al.
Veröffentlicht: (2025)

FastVoiceGrad: One-step Diffusion-Based Voice Conversion with Adversarial Conditional Diffusion Distillation
von: Kaneko, Takuhiro, et al.
Veröffentlicht: (2024)

Training Generative Adversarial Network-Based Vocoder with Limited Data Using Augmentation-Conditional Discriminator
von: Kaneko, Takuhiro, et al.
Veröffentlicht: (2024)

VoiceGrad: Non-Parallel Any-to-Many Voice Conversion with Annealed Langevin Dynamics
von: Kameoka, Hirokazu, et al.
Veröffentlicht: (2020)

GE2E-AC: Generalized End-to-End Loss Training for Accent Classification
von: Watanabe, Chihiro, et al.
Veröffentlicht: (2024)

Selection of Layers from Self-supervised Learning Models for Predicting Mean-Opinion-Score of Speech
von: Liang, Xinyu, et al.
Veröffentlicht: (2025)

Universal Preference-Score-based Pairwise Speech Quality Assessment
von: Shi, Yu-Fei, et al.
Veröffentlicht: (2025)

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition
von: Hu, Cheng-Hung, et al.
Veröffentlicht: (2025)

Rethinking Speech Representation Aggregation in Speech Enhancement: A Phonetic Mutual Information Perspective
von: Han, Seungu, et al.
Veröffentlicht: (2026)

Uncertainty-Aware Mean Opinion Score Prediction
von: Wang, Hui, et al.
Veröffentlicht: (2024)

SCOREQ: Speech Quality Assessment with Contrastive Regression
von: Ragano, Alessandro, et al.
Veröffentlicht: (2024)

Multi-Channel MOSRA: Mean Opinion Score and Room Acoustics Estimation Using Simulated Data and a Teacher Model
von: Coldenhoff, Jozef, et al.
Veröffentlicht: (2023)

Self-Supervised Speech Quality Assessment (S3QA): Leveraging Speech Foundation Models for a Scalable Speech Quality Metric
von: Ogg, Mattson, et al.
Veröffentlicht: (2025)

ReFESS-QI: Reference-Free Evaluation For Speech Separation With Joint Quality And Intelligibility Scoring
von: Frummer, Ari, et al.
Veröffentlicht: (2025)

MambaRate: Speech Quality Assessment Across Different Sampling Rates
von: Kakoulidis, Panos, et al.
Veröffentlicht: (2025)

Distillation and Pruning for Scalable Self-Supervised Representation-Based Speech Quality Assessment
von: Stahl, Benjamin, et al.
Veröffentlicht: (2025)

Advancing Speech Quality Assessment Through Scientific Challenges and Open-source Activities
von: Huang, Wen-Chin
Veröffentlicht: (2025)

Improving Speech Enhancement with Multi-Metric Supervision from Learned Quality Assessment
von: Wang, Wei, et al.
Veröffentlicht: (2025)

MOS-Bench: Benchmarking Generalization Abilities of Subjective Speech Quality Assessment Models
von: Huang, Wen-Chin, et al.
Veröffentlicht: (2024)

Wave-Trainer-Fit: Neural Vocoder with Trainable Prior and Fixed-Point Iteration towards High-Quality Speech Generation from SSL features
von: Ohnaka, Hien, et al.
Veröffentlicht: (2026)

Rethinking Processing Distortions: Disentangling the Impact of Speech Enhancement Errors on Speech Recognition Performance
von: Ochiai, Tsubasa, et al.
Veröffentlicht: (2024)

MeanFlowSE: One-Step Generative Speech Enhancement via MeanFlow
von: Zhu, Yike, et al.
Veröffentlicht: (2025)

USM-Lite: Quantization and Sparsity Aware Fine-tuning for Speech Recognition with Universal Speech Models
von: Ding, Shaojin, et al.
Veröffentlicht: (2023)

Quality Assessment of Noisy and Enhanced Speech with Limited Data: UWB-NTIS System for VoiceMOS 2024
von: Kunešová, Marie, et al.
Veröffentlicht: (2025)

NOMAD: Unsupervised Learning of Perceptual Embeddings for Speech Enhancement and Non-matching Reference Audio Quality Assessment
von: Ragano, Alessandro, et al.
Veröffentlicht: (2023)

Vector Quantized Diffusion Model Based Speech Bandwidth Extension
von: Fang, Yuan, et al.
Veröffentlicht: (2024)

Universal Score-based Speech Enhancement with High Content Preservation
von: Scheibler, Robin, et al.
Veröffentlicht: (2024)

SAC: Neural Speech Codec with Semantic-Acoustic Dual-Stream Quantization
von: Chen, Wenxi, et al.
Veröffentlicht: (2025)

SpeechLLM-as-Judges: Towards General and Interpretable Speech Quality Evaluation
von: Wang, Hui, et al.
Veröffentlicht: (2025)

HALL-E: Hierarchical Neural Codec Language Model for Minute-Long Zero-Shot Text-to-Speech Synthesis
von: Nishimura, Yuto, et al.
Veröffentlicht: (2024)

ESC: Efficient Speech Coding with Cross-Scale Residual Vector Quantized Transformers
von: Gu, Yuzhe, et al.
Veröffentlicht: (2024)

Generative Speech Foundation Model Pretraining for High-Quality Speech Extraction and Restoration
von: Ku, Pin-Jui, et al.
Veröffentlicht: (2024)

Simulating Native Speaker Shadowing for Nonnative Speech Assessment with Latent Speech Representations
von: Geng, Haopeng, et al.
Veröffentlicht: (2024)

Probing Whisper for Dysarthric Speech in Detection and Assessment
von: Yue, Zhengjun, et al.
Veröffentlicht: (2025)

Real-time Speech Extraction Using Spatially Regularized Independent Low-rank Matrix Analysis and Rank-constrained Spatial Covariance Matrix Estimation
von: Ishikawa, Yuto, et al.
Veröffentlicht: (2024)