12 citations · 23 across the 11 of their papers we have counts for
11 papers
L-Proto: Language-Aware Episodic Prototypical Training for Multilingual Speaker Verification
Hyung-Seok Oh, Deok-Hyeon Cho, Seung-Bin Kim +1
Multilingual speaker verification remains challenging because language-dependent acoustic variability causes speaker identity to become entangled with linguistic characteristics, d…
ImmersiveTTS: Environment-Aware Text-to-Speech with Multimodal Diffusion Transformer and Domain-Specific Representation Alignment
Jun-Hak Yun, Seung-Bin Kim, Seong-Whan Lee
Recent advancements in text-guided audio generation have yielded promising results in diverse domains, including sound effects, speech, and music. However, jointly generating speec…
Affectron: Emotional Speech Synthesis with Affective and Contextually Aligned Nonverbal Vocalizations
Deok-Hyeon Cho, Hyung-Seok Oh, Seung-Bin Kim +1
Nonverbal vocalizations (NVs), such as laughter and sighs, are central to the expression of affective cues in emotional speech synthesis. However, learning diverse and contextually…
Toward Complex-Valued Neural Networks for Waveform Generation
Hyung-Seok Oh, Deok-Hyeon Cho, Seung-Bin Kim +1
Neural vocoders have recently advanced waveform generation, yielding natural and expressive audio. Among these approaches, iSTFT-based vocoders have recently gained attention. They…
Spotlight-TTS: Spotlighting the Style via Voiced-Aware Style Extraction and Style Direction Adjustment for Expressive Text-to-Speech
Nam-Gyu Kim, Deok-Hyeon Cho, Seung-Bin Kim +1
Recent advances in expressive text-to-speech (TTS) have introduced diverse methods based on style embedding extracted from reference speech. However, synthesizing high-quality expr…
VibE-SVC: Vibrato Extraction with High-frequency F0 Contour for Singing Voice Conversion
Joon-Seung Choi, Dong-Min Byun, Hyung-Seok Oh +1
Controlling singing style is crucial for achieving an expressive and natural singing voice. Among the various style factors, vibrato plays a key role in conveying emotions and enha…
EmoSphere-SER: Enhancing Speech Emotion Recognition Through Spherical Representation with Auxiliary Classification
Deok-Hyeon Cho, Hyung-Seok Oh, Seung-Bin Kim +1
Speech emotion recognition predicts a speaker's emotional state from speech signals using discrete labels or continuous dimensions such as arousal, valence, and dominance (VAD). We…
DiEmo-TTS: Disentangled Emotion Representations via Self-Supervised Distillation for Cross-Speaker Emotion Transfer in Text-to-Speech
Deok-Hyeon Cho, Hyung-Seok Oh, Seung-Bin Kim +1
Cross-speaker emotion transfer in speech synthesis relies on extracting speaker-independent emotion embeddings for accurate emotion modeling without retaining speaker traits. Howev…
FLowHigh: Towards Efficient and High-Quality Audio Super-Resolution with Single-Step Flow Matching
Jun-Hak Yun, Seung-Bin Kim, Seong-Whan Lee
Audio super-resolution is challenging owing to its ill-posed nature. Recently, the application of diffusion models in audio super-resolution has shown promising results in alleviat…
JELLY: Joint Emotion Recognition and Context Reasoning with LLMs for Conversational Speech Synthesis
Jun-Hyeok Cha, Seung-Bin Kim, Hyung-Seok Oh +1
Recently, there has been a growing demand for conversational speech synthesis (CSS) that generates more natural speech by considering the conversational context. To address this, w…
EmoSphere++: Emotion-Controllable Zero-Shot Text-to-Speech via Emotion-Adaptive Spherical Vector
Deok-Hyeon Cho, Hyung-Seok Oh, Seung-Bin Kim +1
Emotional text-to-speech (TTS) technology has achieved significant progress in recent years; however, challenges remain owing to the inherent complexity of emotions and limitations…