XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale
PulseAugur coverage of XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale — every cluster mentioning XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale across labs, papers, and developer communities, ranked by signal.
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Transformer models show improved accuracy for Quranic ASR
Researchers have conducted a comparative study on pretrained Transformer models for Quranic Automatic Speech Recognition (ASR), aiming to reduce high Word Error Rates (WER) on user-recited verses. The study fine-tuned m…
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New metric evaluates lexical stress in English-to-Chinese S2ST
Researchers have developed a new method to evaluate and preserve lexical stress in English-to-Chinese speech-to-speech translation (S2ST). They created a stress-annotated Chinese dataset and a Mandarin stress detector u…
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New research tackles spoofed speech detection with advanced AI models
Researchers are developing advanced methods to detect spoofed speech, a growing challenge due to realistic synthesis and voice conversion technologies. One approach, the Temporal Pyramid Adapter, uses parallel temporal …
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Researchers explore quantum and deep learning for audio deepfake detection
Two research papers submitted to the Environment-Aware Speech and Sound Deepfake Detection Challenge (ESDD2) in 2026 propose novel deep-learning frameworks for detecting manipulated audio. The first paper introduces a d…