Handling the Alignment for Wake Word Detection: A Comparison Between Alignment-Based, Alignment-Free & Hybrid Approaches https://
bit.ly/3YFqgmc This paper focuses on understanding alignment's role in developing a wake-word system that answers a generic phrase.
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Wake Word Detection: Alignment-Based, Alignment-Free & Hybrid Approaches
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Multi-Head State Space Model Architecture for Speech Recognition
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Multi-head State Space Model for Speech Recognition https://
bit.ly/3OEIUWJ We propose a multi-head state space architecture equipped with special gating mechanisms, where parallel heads are taught to learn local and global temporal dynamics on sequence data. -
Robust End-to-End Spoken Language Understanding with Modality Confidence
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Modality Confidence Aware Training for Robust End-to-End Spoken Language Understanding https://
bit.ly/45cZLa5 A novel E2E SLU system that enhances robustness to ASR errors by fusing audio + text representations based on est. modality confidence of ASR hypotheses. -
Multimodal LLMs Evaluation Without Image Datasets
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I don’t think there’s a restriction wrt to multimodal LLMs though (eg using techniques like LLaMA-Adapter v2). But yeah, the evaluation datasets won’t include images.
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Amazon Textract Integration for LangChain PDF Loading
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Amazon Textract Integration Loading PDFs has been one of the biggest areas of questions for folks using LangChain to connect to their data That's why I'm excited to highlight our recently-added integration with Amazon Textract https://
python.langchain.com/docs/integrati
ons/document_loaders/pdf-amazonTextractPDFLoader
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Addressing AI Bias in Education: Transparency Over Fear
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"Keeping kids from cheating is not the issue. We don’t need to fear this technology. Let’s unpack the bias, bring it into the light, teach it, and show that we can mitigate it.” https://
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OpenAI shifts workload from Microsoft to Google Cloud
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'As those freebies dwindled, OpenAI began shifting its workload to Google Cloud, seemingly winding down its relationship with Microsoft before it really got underway.' https://
fastcompany.com/90931084/satya
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Positional Encoding and Attention Mechanisms in Neural Networks
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Hm good point and not sure. The positional encoding might not be required (there was a paper on that recently referred to as NoPE). Attention mechanisms I’d say are a generalization of MLPs (they could learn uniform weights if that’s useful). So I’d tend to say no.
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Transformer publication timeline close to Bahdanau attention
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Ah no! Interesting, I didn’t know it was published only 1 month after Bahdanau attention for RNNs
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Technology Proliferation and Humanity’s Future in 30 Years
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Everything has always proliferated. If this is indeed a 'law of technology', where does that leave humanity in 30 years? https://
amazon.com/Coming-Wave-Te
chnology-Twenty-first-Centurys/dp/0593593952
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