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Found 8 papers, 4 papers with code
Prompting and Adapter Tuning for Self-supervised Encoder-Decoder Speech Model
Notably, in the low-resource scenario, prompting consistently outperforms adapter tuning.
Dynamic-SUPERB: Towards A Dynamic, Collaborative, and Comprehensive Instruction-Tuning Benchmark for Speech
To achieve comprehensive coverage of diverse speech tasks and harness instruction tuning, we invite the community to collaborate and contribute, facilitating the dynamic growth of the benchmark.
Toward Degradation-Robust Voice Conversion
However, in real-world scenarios, it is difficult to collect clean utterances of a speaker, and they are usually degraded by noises or reverberations.
Improving Cross-Lingual Reading Comprehension with Self-Training
Substantial improvements have been made in machine reading comprehension, where the machine answers questions based on a given context.
Utilizing Self-supervised Representations for MOS Prediction
In this paper, we use self-supervised pre-trained models for MOS prediction.
Investigating on Incorporating Pretrained and Learnable Speaker Representations for Multi-Speaker Multi-Style Text-to-Speech
The few-shot multi-speaker multi-style voice cloning task is to synthesize utterances with voice and speaking style similar to a reference speaker given only a few reference samples.
How Far Are We from Robust Voice Conversion: A Survey
Voice conversion technologies have been greatly improved in recent years with the help of deep learning, but their capabilities of producing natural sounding utterances in different conditions remain unclear.
Defending Your Voice: Adversarial Attack on Voice Conversion
We introduce human imperceptible noise into the utterances of a speaker whose voice is to be defended.
