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TFPSNet: Time-Frequency Domain Path Scanning Network for Speech Separation

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Introduction In the intricate realm of speech separation, where the goal is to untangle overlapping speech signals in acoustic mixtures, traditional signal processing techniques often face significant challenges. The advent of deep learning, however, has ushered in a new era of innovative approaches, and one standout in this field is TFPSNet, which stands for Time-Frequency …

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 Using Sound to Add Scale to Computer Vision

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Introduction In the realm of computer vision, where machines are trained to interpret and understand visual data, a fundamental challenge has persisted—the ability to perceive scale accurately. While computer vision has made tremendous strides in object recognition and scene understanding, estimating scale, especially in scenarios lacking reference points, remains a significant obstacle. To address this …

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 Transforming Website Clustering with Transformer Context Models

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Introduction The internet is a vast repository of information, encompassing billions of websites covering a multitude of topics. As the volume of web content continues to grow exponentially, the challenge of effectively organizing and categorizing these websites becomes increasingly complex. Traditional methods of website clustering often rely on manual categorization or keyword-based approaches, which are …

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GOHSP: A Unified Framework of Graph and Optimization-based Heterogeneous Structured Pruning for Vision Transformer

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Introduction In the ever-evolving field of computer vision and deep learning, the quest for more efficient and compact models without compromising performance has led to numerous innovations. One such groundbreaking development is GOHSP, short for Graph and Optimization-based Heterogeneous Structured Pruning. This unified framework represents a significant leap forward in the world of Vision Transformers …

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Speaker Encoder with Hierarchical Timbre-Cadence for Zero-shot Speech Synthesis

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First Off Advances in neural text-to-speech (TTS) models have made it possible to create artificial voices that are more expressive and natural-sounding, which has greatly advanced speech synthesis technology. But it’s still difficult to synthesize speech with a particular speaker’s identity and style, particularly in zero-shot settings where there isn’t much or any training data …

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LP-IOANet: Illuminating the Future of Document Enhancement with Efficient High-Resolution Shadow Removal

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Introduction In the realm of document processing and image enhancement, the significance of clear, legible, and high-resolution documents cannot be overstated. However, the presence of shadows in scanned or photographed documents can often pose a significant challenge. Enter LP-IOANet – an innovative solution designed for Efficient High-Resolution Document Shadow Removal. In this article, we will …

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Mobile Twin Recognition: Advancing Mobile Security and Personalization

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Introduction In today’s increasingly mobile-centric world, smartphones have become extensions of ourselves, storing vast amounts of personal data and serving as gateways to our digital lives. Ensuring the security and personalization of these devices is paramount, and a promising technology called Mobile Twin Recognition is emerging as a powerful solution. In this article, we explore …

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Multi-Stage Progressive Audio Bandwidth Extension: Enhancing Sound Quality Beyond Limits

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Introduction In the world of audio signal processing, achieving high-quality sound reproduction is a continuous pursuit. One significant challenge is extending the bandwidth of audio signals to capture richer and more detailed audio experiences. The solution to this challenge is the innovative technique known as Multi-Stage Progressive Audio Bandwidth Extension. In this article, we will …

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 Using Open Custom Keyword Spotting Testsets to Promote Multilingual Communication

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introductory The need for adaptable and efficient multilingual technologies has never been higher in our world of growing interconnectedness. One of the most important parts of these technologies is multilingual keyword spotting, which makes it possible for voice-activated apps and systems to recognize and react to many languages. A key component in the creation and …

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Extending NNStreamer: Pipeline Framework and Among-Device AI

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Introduction In the ever-evolving landscape of artificial intelligence (AI) and machine learning (ML), the development of efficient and flexible frameworks is crucial for harnessing the power of neural networks. One such remarkable advancement is the extension of NNStreamer, a versatile framework that facilitates the creation of sophisticated AI pipelines and enables seamless interaction among devices. …

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