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InstructAudio: Unified speech and music generation with natural language instruction
Chunyu Qiang, Kang Yin, Xiaopeng Wang +8
Text-to-speech (TTS) and text-to-music (TTM) models face significant limitations in instruction-based control. TTS systems usually depend on reference audio for timbre, offer only…
SynParaSpeech: Automated Synthesis of Paralinguistic Datasets for Speech Generation and Understanding
Bingsong Bai, Qihang Lu, Wenbing Yang +8
Paralinguistic sounds, like laughter and sighs, are crucial for synthesizing more realistic and engaging speech. However, existing methods typically depend on proprietary datasets,…
SecoustiCodec: Cross-Modal Aligned Streaming Single-Codecbook Speech Codec
Chunyu Qiang, Haoyu Wang, Cheng Gong +10
Speech codecs serve as a crucial bridge in unifying speech and text language models. Existing codec methods face several challenges in semantic encoding, such as residual paralingu…
VQ-CTAP: Cross-Modal Fine-Grained Sequence Representation Learning for Speech Processing
Chunyu Qiang, Wang Geng, Yi Zhao +12
Deep learning has brought significant improvements to the field of cross-modal representation learning. For tasks such as text-to-speech (TTS), voice conversion (VC), and automatic…
Text Prompt is Not Enough: Sound Event Enhanced Prompt Adapter for Target Style Audio Generation
Chenxu Xiong, Ruibo Fu, Shuchen Shi +9
Current mainstream audio generation methods primarily rely on simple text prompts, often failing to capture the nuanced details necessary for multi-style audio generation. To addre…
ICAGC 2024: Inspirational and Convincing Audio Generation Challenge 2024
Ruibo Fu, Rui Liu, Chunyu Qiang +11
The Inspirational and Convincing Audio Generation Challenge 2024 (ICAGC 2024) is part of the ISCSLP 2024 Competitions and Challenges track. While current text-to-speech (TTS) techn…