The CLAP model bridges audio and text processing for various applications.
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Cutting edge science explained simply
The CLAP model bridges audio and text processing for various applications.
― 4 min read
A project aims to improve French speech processing using self-supervised learning.
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New methods improve how machines recognize speech rhythm and emotion.
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A new approach improves sound estimation in spaces with scattering objects.
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Examines how undecidability influences music composition and production today.
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This article explores advancements in speaker diarization using language models for better accuracy.
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This study improves ASR systems' ability to recognize children's speech.
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Researchers explore audio sensing technology for improved pedestrian detection in urban areas.
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New method enhances sound source localization and field separation.
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A new method improves drum sound synthesis by focusing on sharp transient elements.
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Researchers are developing synthetic voice data to protect privacy in voice recognition.
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VoxtLM combines speech recognition, synthesis, text generation, and continuation in one model.
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New system enhances speech recognition using context-aware prompts.
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EnCodecMAE combines self-supervised learning and audio codecs for improved audio task performance.
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A study on using machine learning to identify children's sounds for ASD assessment.
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Introducing a flexible method for recognizing keywords in speech across languages.
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A look at how speech quality is tested using crowdsourcing.
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Advanced techniques for ensuring audio authenticity in the age of voice cloning.
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A new method trains audio captioning systems using only text descriptions.
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A guide to crafting clear and effective academic papers.
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Erie simplifies turning data into sound for better accessibility.
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Examining the risks of backdoor attacks on speaker verification systems.
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A new method enhances audio-visual segmentation without detailed labels.
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PIAVE helps machines extract voices clearly, even when speakers turn their heads.
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Libriheavy offers 50,000 hours of spoken English to boost speech recognition technology.
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AV2Wav enhances speech quality using audio and visual cues.
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A fresh method for machines to alter speech emotions naturally.
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New methods are being developed to identify deepfake singing voices in the music industry.
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Core-set selection improves text-to-speech models by focusing on diverse data.
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New models are transforming how we analyze emotions in speech.
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A new method uses ultrasound to recognize actions while protecting privacy.
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Introducing a flexible framework to enhance voice privacy research.
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CiwaGAN combines control of speech movements and information sharing for better speech learning.
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A framework that blends verbal and non-verbal cues for better language learning.
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A new method simplifies understanding of speech classification models.
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A new system enhances pronunciation skills by considering first language influences.
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Discover how quantum tools change music creation and performance.
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New method improves emotion preservation in voice conversion processes.
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New method preserves emotional tone in voice conversion for better human-computer interaction.
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New systems improve translation from text to spoken language without intermediates.
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