1 citations · 1 across the 6 of their papers we have counts for
6 papers
MOSS-Audio Technical Report
Chen Yang, Chufan Yu, Hanfu Chen +27
MOSS-Audio is a unified audio-language model for speech, environmental sound, and music understanding, supporting audio captioning, time-aware question answering, timestamped trans…
MOSS-VoiceGenerator: Create Realistic Voices with Natural Language Descriptions
Kexin Huang, Liwei Fan, Botian Jiang +11
Voice design from natural language aims to generate speaker timbres directly from free-form textual descriptions, allowing users to create voices tailored to specific roles, person…
Speech Enhancement with Overlapped-Frame Information Fusion and Causal Self-Attention
Yuewei Zhang, Huanbin Zou, Jie Zhu
For time-frequency (TF) domain speech enhancement (SE) methods, the overlap-and-add operation in the inverse TF transformation inevitably leads to an algorithmic delay equal to the…
A Two-Stage Framework in Cross-Spectrum Domain for Real-Time Speech Enhancement
Yuewei Zhang, Huanbin Zou, Jie Zhu
Two-stage pipeline is popular in speech enhancement tasks due to its superiority over traditional single-stage methods. The current two-stage approaches usually enhance the magnitu…
VSANet: Real-time Speech Enhancement Based on Voice Activity Detection and Causal Spatial Attention
Yuewei Zhang, Huanbin Zou, Jie Zhu
The deep learning-based speech enhancement (SE) methods always take the clean speech's waveform or time-frequency spectrum feature as the learning target, and train the deep neural…
Magnitude-and-phase-aware Speech Enhancement with Parallel Sequence Modeling
Yuewei Zhang, Huanbin Zou, Jie Zhu
In speech enhancement (SE), phase estimation is important for perceptual quality, so many methods take clean speech's complex short-time Fourier transform (STFT) spectrum or the co…