5 citations · 6 across the 7 of their papers we have counts for
6 papers · 1 filter
EvoTSE: Evolving Enrollment for Target Speaker Extraction
Zikai Liu, Ziqian Wang, Xingchen Li +4
Target Speaker Extraction (TSE) aims to isolate a specific speaker's voice from a mixture, guided by a pre-recorded enrollment. While TSE bypasses the global permutation ambiguity…
The ICASSP 2026 Automatic Song Aesthetics Evaluation Challenge
Guobin Ma, Yuxuan Xia, Jixun Yao +5
This paper summarizes the ICASSP 2026 Automatic Song Aesthetics Evaluation (ASAE) Challenge, which focuses on predicting the subjective aesthetic scores of AI-generated songs. The…
DiffRhythm+: Controllable and Flexible Full-Length Song Generation with Preference Optimization
Huakang Chen, Yuepeng Jiang, Guobin Ma +7
Songs, as a central form of musical art, exemplify the richness of human intelligence and creativity. While recent advances in generative modeling have enabled notable progress in…
DiffRhythm: Blazingly Fast and Embarrassingly Simple End-to-End Full-Length Song Generation with Latent Diffusion
Ziqian Ning, Huakang Chen, Yuepeng Jiang +5
Recent advancements in music generation have garnered significant attention, yet existing approaches face critical limitations. Some current generative models can only synthesize e…
Drop the beat! Freestyler for Accompaniment Conditioned Rapping Voice Generation
Ziqian Ning, Shuai Wang, Yuepeng Jiang +5
Rap, a prominent genre of vocal performance, remains underexplored in vocal generation. General vocal synthesis depends on precise note and duration inputs, requiring users to have…
WenetSpeech4TTS: A 12,800-hour Mandarin TTS Corpus for Large Speech Generation Model Benchmark
Linhan Ma, Dake Guo, Kun Song +7
With the development of large text-to-speech (TTS) models and scale-up of the training data, state-of-the-art TTS systems have achieved impressive performance. In this paper, we pr…