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ENTITY XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale

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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RECENT · PAGE 1/1 · 6 TOTAL
  1. TOOL · CL_257056 ·

    New SITA method improves speech representation for tonal languages

    Researchers have developed SITA, a novel adaptation method for self-supervised speech encoders designed to improve representation learning for low-resource tonal languages. SITA employs a staged optimization framework t…

  2. TOOL · CL_254537 ·

    Neyshekar corpus released for Persian speech recognition

    A new open Persian read-speech corpus named Neyshekar has been released, containing over 62,000 recordings totaling nearly 100 hours. This corpus is designed to cover formal and informal Persian, named entities, and lon…

  3. TOOL · CL_100071 ·

    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…

  4. TOOL · CL_93517 ·

    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…

  5. RESEARCH · CL_91207 ·

    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 …

  6. RESEARCH · CL_15484 ·

    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…