Cover Image

ParaMETA: Towards Learning Disentangled Paralinguistic Speaking Styles Representations from Speech

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lou, Haowei, Paik, Hye-young, Hu, Wen, Yao, Lina
Format:	Preprint
Published:	2026
Subjects:	Sound Machine Learning Audio and Speech Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ParaStyleTTS: Toward Efficient and Robust Paralinguistic Style Control for Expressive Text-to-Speech Generation
by: Lou, Haowei, et al.
Published: (2025)

Generalized Multilingual Text-to-Speech Generation with Language-Aware Style Adaptation
by: Lou, Haowei, et al.
Published: (2025)

StyleSpeech: Parameter-efficient Fine Tuning for Pre-trained Controllable Text-to-Speech
by: Lou, Haowei, et al.
Published: (2024)

Aligner-Guided Training Paradigm: Advancing Text-to-Speech Models with Aligner Guided Duration
by: Lou, Haowei, et al.
Published: (2024)

LatentSpeech: Latent Diffusion for Text-To-Speech Generation
by: Lou, Haowei, et al.
Published: (2024)

Towards Machine Unlearning for Paralinguistic Speech Processing
by: Phukan, Orchid Chetia, et al.
Published: (2025)

Learning Expressive Disentangled Speech Representations with Soft Speech Units and Adversarial Style Augmentation
by: Deng, Yimin, et al.
Published: (2024)

Learning Disentangled Speech Representations
by: Brima, Yusuf, et al.
Published: (2023)

Source Tracing of Synthetic Speech Systems Through Paralinguistic Pre-Trained Representations
by: Girish, et al.
Published: (2025)

Voice Quality Dimensions as Interpretable Primitives for Speaking Style for Atypical Speech and Affect
by: Narain, Jaya, et al.
Published: (2025)

Are Paralinguistic Representations all that is needed for Speech Emotion Recognition?
by: Phukan, Orchid Chetia, et al.
Published: (2024)

RA-CLAP: Relation-Augmented Emotional Speaking Style Contrastive Language-Audio Pretraining For Speech Retrieval
by: Sun, Haoqin, et al.
Published: (2025)

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

Learning Disentangled Speech Representations with Contrastive Learning and Time-Invariant Retrieval
by: Deng, Yimin, et al.
Published: (2024)

ParaLBench: A Large-Scale Benchmark for Computational Paralinguistics over Acoustic Foundation Models
by: Zhang, Zixing, et al.
Published: (2024)

Recovering Performance in Speech Emotion Recognition from Discrete Tokens via Multi-Layer Fusion and Paralinguistic Feature Integration
by: Sun, Esther, et al.
Published: (2026)

SoulX-Podcast: Towards Realistic Long-form Podcasts with Dialectal and Paralinguistic Diversity
by: Xie, Hanke, et al.
Published: (2025)

Quantifying Dimensional Independence in Speech: An Information-Theoretic Framework for Disentangled Representation Learning
by: Kashyap, Bipasha, et al.
Published: (2026)

ControlSpeech: Towards Simultaneous and Independent Zero-shot Speaker Cloning and Zero-shot Language Style Control
by: Ji, Shengpeng, et al.
Published: (2024)

Learning Disentangled Audio Representations through Controlled Synthesis
by: Brima, Yusuf, et al.
Published: (2024)

S2S-Arena: Evaluating Paralinguistic Instruction Following in Speech-to-Speech Models
by: Jiang, Feng, et al.
Published: (2025)

LibriTTS-P: A Corpus with Speaking Style and Speaker Identity Prompts for Text-to-Speech and Style Captioning
by: Kawamura, Masaya, et al.
Published: (2024)

Geometric Analysis of Speech Representation Spaces: Topological Disentanglement and Confound Detection
by: Kashyap, Bipasha, et al.
Published: (2026)

Self-Supervised Disentangled Representation Learning for Robust Target Speech Extraction
by: Mu, Zhaoxi, et al.
Published: (2023)

Towards the Next Frontier in Speech Representation Learning Using Disentanglement
by: Krishna, Varun, et al.
Published: (2024)

Speaker Disentanglement of Speech Pre-trained Model Based on Interpretability
by: Zhu, Xiaoxu, et al.
Published: (2025)

TextrolSpeech: A Text Style Control Speech Corpus With Codec Language Text-to-Speech Models
by: Ji, Shengpeng, et al.
Published: (2023)

Expressive Speech Retrieval using Natural Language Descriptions of Speaking Style
by: Kang, Wonjune, et al.
Published: (2025)

Evaluating Disentangled Representations for Controllable Music Generation
by: Ibáñez-Martínez, Laura, et al.
Published: (2026)

Disentangling Textual and Acoustic Features of Neural Speech Representations
by: Mohebbi, Hosein, et al.
Published: (2024)

Frozen Large Language Models Can Perceive Paralinguistic Aspects of Speech
by: Kang, Wonjune, et al.
Published: (2024)

Paralinguistics-Aware Speech-Empowered Large Language Models for Natural Conversation
by: Kim, Heeseung, et al.
Published: (2024)

Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing
by: Fu, Yonggan, et al.
Published: (2022)

Disentangled Representation Learning for Environment-agnostic Speaker Recognition
by: Nam, KiHyun, et al.
Published: (2024)

Textless and Non-Parallel Speech-to-Speech Emotion Style Transfer
by: Dutta, Soumya, et al.
Published: (2025)

Audio2Tool: Speak, Call, Act -- A Dataset for Benchmarking Speech Tool Use
by: Pahwa, Ramit, et al.
Published: (2026)

META-CAT: Speaker-Informed Speech Embeddings via Meta Information Concatenation for Multi-talker ASR
by: Wang, Jinhan, et al.
Published: (2024)

Toward Efficient Speech Emotion Recognition via Spectral Learning and Attention
by: Lee, HyeYoung, et al.
Published: (2025)

Representation Learning with Parameterised Quantum Circuits for Advancing Speech Emotion Recognition
by: Rajapakshe, Thejan, et al.
Published: (2025)

The Effect of Batch Size on Contrastive Self-Supervised Speech Representation Learning
by: Vaessen, Nik, et al.
Published: (2024)