CML-TTS enables better text-to-speech systems across seven languages.
― 5 min read
Cutting edge science explained simply
CML-TTS enables better text-to-speech systems across seven languages.
― 5 min read
This study assesses various models for predicting synthesized speech quality.
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Researchers automate bird sound classification, enhancing accuracy in monitoring species.
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FALL-E creates high-quality sound effects from text descriptions.
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A new method enhances voice conversion for individuals with atypical speech.
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SURT 2.0 improves speech recognition for multiple speakers in real-time settings.
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MARBLE sets a standard for evaluating music AI models across multiple tasks.
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A new method improves the accuracy of identifying bird calls.
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New algorithms enhance audio processing performance across varying sample rates.
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Research explores sound analysis to improve mosquito sorting for disease control.
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Explore two innovative methods for altering vocal timbre using Digital Signal Processing.
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A new method enhances speech recognition technology without losing previously learned knowledge.
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A new model improves music transcription accuracy for multiple instruments.
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A new method combines traditional and deep learning for efficient sound imaging.
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New methods improve realism in audio technologies using physics-informed techniques.
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A new model enhances word learning using audio and images.
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Investigating how voice technology can prevent duplicate patient participation in trials.
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A new dataset helps identify signs of depression and anxiety through speech analysis.
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New method reconstructs sound from brain signals, revealing insights into auditory processing.
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A guide to using AI models for music on the Bela platform.
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A new method evaluates ASR systems without needing reference texts.
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NoRefER offers a new way to assess speech recognition outputs without needing transcripts.
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This article discusses a method to enhance video captioning by incorporating audio.
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A new model improves voice conversion by simplifying speech separation techniques.
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Research aims to combine audio and symbolic data for music similarity analysis.
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New methods enhance speech segmentation in multi-language conversations.
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NoisyILRMA enhances sound extraction from background noise for clearer audio experiences.
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This article discusses the role of self-supervised learning in music technology.
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A new framework improves ASR for low-resource languages and multilingual scalability.
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Personalized ASR systems improve communication for DHH individuals significantly.
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New methods leverage conversational summaries for better speaker recognition.
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Enhancing feedback systems for English learners by addressing the cold start problem.
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Researching methods to locate sound sources from wind turbines for noise reduction.
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Introducing a new model for identifying singing techniques in audio tracks.
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A new model enhances speech extraction using audio and visual information.
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Wespeaker simplifies speaker recognition with user-friendly tools and pretrained models.
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A new method transforms mono signals into engaging stereo experiences.
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A study on improving emotion detection in speech for diverse groups.
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This article discusses enhancing speech recognition using confidence-based ensemble methods.
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Study uses multi-data device to track infant sleep patterns more accurately.
― 4 min read