Remove tag community-detection
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How to Use Speech AI for Healthcare Market Research

AssemblyAI

Organize, Categorize, and Annotate for Deeper Insights Searchable media  enables better organization and archiving of research data, allowing researchers to tag and categorize audio segments based on topics or keywords. Users can use AI to organize, tag, summarize, and analyze their data, helping them uncover insights.

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Top 3 ways to enhance AI video editing tools with Speech AI

AssemblyAI

Audio Intelligence models include Summarization, Topic Detection, Sentiment Analysis, PII Redaction, and more.  In addition to adding captions, video editing platforms can provide AI-powered tools that allow users to: Auto-tag video content with relevant tags.

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Do Language Models Know When They Are Hallucinating? This AI Research from Microsoft and Columbia University Explores Detecting Hallucinations with the Creation of Probes

Marktechpost

In recent research, a team of researchers has studied hallucination detection in grounded generation tasks with a special emphasis on language models, especially the decoder-only transformer models. Hallucination detection aims to ascertain whether the generated text is true to the input prompt or contains false information.

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Moderate audio and text chats using AWS AI services and LLMs

AWS Machine Learning Blog

Online gaming and social communities offer voice and text chat functionality for their users to communicate. The Amazon Transcribe StartTranscriptionJob API is invoked with Toxicity Detection enabled. In addition to analyzing text, Toxicity Detection uses speech cues such as tones and pitch to identify toxic intent in speech.

LLM 101
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Amazon Researchers Introduce a Novel Artificial Intelligence Method for Detecting Instrumental Music in a Large-Scale Music Catalog

Marktechpost

There is a sizable body of academic literature devoted to scalable content-based algorithms for automatic music tagging in order to offer context. In recent research, a team of researchers from Amazon has addressed the issue of automatic instrumental music detection. This method consists of three main stages, which are as follows.

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Detect Anything You Want With UniDetector

Marktechpost

Deep learning and AI have made remarkable progress in recent years, especially in detection models. Despite these impressive advancements, the effectiveness of object detection models heavily relies on large-scale benchmark datasets. This was the summary of UniDetector, a novel AI framework designed for universal object detection.

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Researchers from MIT and Microsoft Introduce DoLa: A Novel AI Decoding Strategy Aimed at Reducing Hallucinations in LLMs

Marktechpost

While LLMs have improved in performance and gained additional capabilities due to being scaled, they still have a problem with “hallucinating” or producing information inconsistent with the real-world facts detected during pre-training. In contrast, the later levels encode more “semantic” information.