Buchumschlag

Speaker-agnostic Emotion Vector for Cross-speaker Emotion Intensity Control

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Murata, Masato, Miyazaki, Koichi, Koriyama, Tomoki
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

Eigenvoice Synthesis based on Model Editing for Speaker Generation
von: Murata, Masato, et al.
Veröffentlicht: (2025)

An Attribute Interpolation Method in Speech Synthesis by Model Merging
von: Murata, Masato, et al.
Veröffentlicht: (2024)

Exploring the Capability of Mamba in Speech Applications
von: Miyazaki, Koichi, et al.
Veröffentlicht: (2024)

Mamba-based Decoder-Only Approach with Bidirectional Speech Modeling for Speech Recognition
von: Masuyama, Yoshiki, et al.
Veröffentlicht: (2024)

Prosody Labeling with Phoneme-BERT and Speech Foundation Models
von: Koriyama, Tomoki
Veröffentlicht: (2025)

VAE-based Phoneme Alignment Using Gradient Annealing and SSL Acoustic Features
von: Koriyama, Tomoki
Veröffentlicht: (2024)

Frame-Wise Breath Detection with Self-Training: An Exploration of Enhancing Breath Naturalness in Text-to-Speech
von: Yang, Dong, et al.
Veröffentlicht: (2024)

MuSE-SVS: Multi-Singer Emotional Singing Voice Synthesizer that Controls Emotional Intensity
von: Kim, Sungjae, et al.
Veröffentlicht: (2022)

EmoSphere-TTS: Emotional Style and Intensity Modeling via Spherical Emotion Vector for Controllable Emotional Text-to-Speech
von: Cho, Deok-Hyeon, et al.
Veröffentlicht: (2024)

Learning Emotion-Invariant Speaker Representations for Speaker Verification
von: Tian, Jingguang, et al.
Veröffentlicht: (2025)

Towards Realistic Emotional Voice Conversion using Controllable Emotional Intensity
von: Qi, Tianhua, et al.
Veröffentlicht: (2024)

Multi-speaker Text-to-speech Training with Speaker Anonymized Data
von: Huang, Wen-Chin, et al.
Veröffentlicht: (2024)

Emotional Styles Hide in Deep Speaker Embeddings: Disentangle Deep Speaker Embeddings for Speaker Clustering
von: Lin, Chaohao, et al.
Veröffentlicht: (2025)

EASY: Emotion-aware Speaker Anonymization via Factorized Distillation
von: Yao, Jixun, et al.
Veröffentlicht: (2025)

Emotion Recognition in Multi-Speaker Conversations through Speaker Identification, Knowledge Distillation, and Hierarchical Fusion
von: Li, Xiao, et al.
Veröffentlicht: (2025)

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

Adapting General Disentanglement-Based Speaker Anonymization for Enhanced Emotion Preservation
von: Miao, Xiaoxiao, et al.
Veröffentlicht: (2024)

Emotion-Aware Speech Self-Supervised Representation Learning with Intensity Knowledge
von: Liu, Rui, et al.
Veröffentlicht: (2024)

Non-Intrusive Binaural Speech Intelligibility Prediction Using Mamba for Hearing-Impaired Listeners
von: Yamamoto, Katsuhiko, et al.
Veröffentlicht: (2025)

ED-TTS: Multi-Scale Emotion Modeling using Cross-Domain Emotion Diarization for Emotional Speech Synthesis
von: Tang, Haobin, et al.
Veröffentlicht: (2024)

Schrödinger Bridge Consistency Trajectory Models for Speech Enhancement
von: Nishigori, Shuichiro, et al.
Veröffentlicht: (2025)

Robust Audio-Visual Target Speaker Extraction with Emotion-Aware Multiple Enrollment Fusion
von: Jin, Zhan, et al.
Veröffentlicht: (2025)

Investigating Effective Speaker Property Privacy Protection in Federated Learning for Speech Emotion Recognition
von: Tan, Chao, et al.
Veröffentlicht: (2024)

Emotion-Aware Contrastive Adaptation Network for Source-Free Cross-Corpus Speech Emotion Recognition
von: Zhao, Yan, et al.
Veröffentlicht: (2024)

Semantic-Emotional Resonance Embedding: A Semi-Supervised Paradigm for Cross-Lingual Speech Emotion Recognition
von: Zhao, Ya, et al.
Veröffentlicht: (2026)

An Exploration of ECAPA-TDNN and x-vector Speaker Representations in Zero-shot Multi-speaker TTS
von: Kunešová, Marie, et al.
Veröffentlicht: (2025)

DiEmo-TTS: Disentangled Emotion Representations via Self-Supervised Distillation for Cross-Speaker Emotion Transfer in Text-to-Speech
von: Cho, Deok-Hyeon, et al.
Veröffentlicht: (2025)

Confidence-based Filtering for Speech Dataset Curation with Generative Speech Enhancement Using Discrete Tokens
von: Yamauchi, Kazuki, et al.
Veröffentlicht: (2026)

The T12 System for AudioMOS Challenge 2025: Audio Aesthetics Score Prediction System Using KAN- and VERSA-based Models
von: Yamamoto, Katsuhiko, 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)

Efficient Emotion and Speaker Adaptation in LLM-Based TTS via Characteristic-Specific Partial Fine-Tuning
von: Wang, Tianrui, et al.
Veröffentlicht: (2025)

Two-stage Framework for Robust Speech Emotion Recognition Using Target Speaker Extraction in Human Speech Noise Conditions
von: Mi, Jinyi, et al.
Veröffentlicht: (2024)

Hierarchical Control of Emotion Rendering in Speech Synthesis
von: Inoue, Sho, et al.
Veröffentlicht: (2024)

EmoSphere++: Emotion-Controllable Zero-Shot Text-to-Speech via Emotion-Adaptive Spherical Vector
von: Cho, Deok-Hyeon, et al.
Veröffentlicht: (2024)

Expressive Prompting: Improving Emotion Intensity and Speaker Consistency in Zero-Shot TTS
von: Wang, Haoyu, et al.
Veröffentlicht: (2024)

Hierarchical speaker representation for target speaker extraction
von: He, Shulin, et al.
Veröffentlicht: (2022)

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control
von: Zhang, Shaozuo, et al.
Veröffentlicht: (2025)

Revealing Emotional Clusters in Speaker Embeddings: A Contrastive Learning Strategy for Speech Emotion Recognition
von: Ulgen, Ismail Rasim, et al.
Veröffentlicht: (2024)

Speaker-IPL: Unsupervised Learning of Speaker Characteristics with i-Vector based Pseudo-Labels
von: Aldeneh, Zakaria, et al.
Veröffentlicht: (2024)

Hierarchical Emotion Prediction and Control in Text-to-Speech Synthesis
von: Inoue, Sho, et al.
Veröffentlicht: (2024)