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Found 7 papers, 1 papers with code
Self-Supervised Representations for Singing Voice Conversion
A singing voice conversion model converts a song in the voice of an arbitrary source singer to the voice of a target singer.
Synthetic Cross-accent Data Augmentation for Automatic Speech Recognition
In this work, we improve an accent-conversion model (ACM) which transforms native US-English speech into accented pronunciation.
Voice-preserving Zero-shot Multiple Accent Conversion
Most people who have tried to learn a foreign language would have experienced difficulties understanding or speaking with a native speaker's accent.
Towards zero-shot Text-based voice editing using acoustic context conditioning, utterance embeddings, and reference encoders
Text-based voice editing (TBVE) uses synthetic output from text-to-speech (TTS) systems to replace words in an original recording.
VocBench: A Neural Vocoder Benchmark for Speech Synthesis
We perform a subjective and objective evaluation to compare the performance of each vocoder along a different axis.
Multi-rate attention architecture for fast streamable Text-to-speech spectrum modeling
Typical high quality text-to-speech (TTS) systems today use a two-stage architecture, with a spectrum model stage that generates spectral frames and a vocoder stage that generates the actual audio.
DAF-NET: a saliency based weakly supervised method of dual attention fusion for fine-grained image classification
One is use attention based method to focus on informative areas, while the other one aims to find high order between features.
