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AI for Universal Audio Understanding: Qwen-Audio Explained

AssemblyAI

Researchers from Alibaba Group have introduced Qwen-Audio , a groundbreaking large-scale audio-language model that elevates the way AI systems process and reason about a diverse spectrum of audio signals. Performance of Qwen-Audio versus previous top-tiers from multi-task audio-text learning models across 12 audio datasets.

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Meet LP-MusicCaps: A Tag-to-Pseudo Caption Generation Approach with Large Language Models to Address the Data Scarcity Issue in Automatic Music Captioning

Marktechpost

Music caption generation involves music information retrieval by generating natural language descriptions of a given music track. The captions generated are textual descriptions of sentences, distinguishing the task from other music semantic understanding tasks such as music tagging. They opted for the powerful GPT-3.5

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Microsoft’s TAG-LLM: An AI Weapon for Decoding Complex Protein Structures and Chemical Compounds!

Marktechpost

The seamless integration of Large Language Models (LLMs) into the fabric of specialized scientific research represents a pivotal shift in the landscape of computational biology, chemistry, and beyond. Addressing this challenge, a groundbreaking framework developed at Microsoft Research, TAG-LLM, emerges.

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SpeechVerse: A Multimodal AI Framework that Enables LLMs to Follow Natural Language Instructions for Performing Diverse Speech-Processing Tasks

Marktechpost

Large language models (LLMs) have excelled in natural language tasks and instruction following, yet they struggle with non-textual data like images and audio. Particularly, instruction-following multimodal audio-language models are gaining traction due to their ability to generalize across tasks.

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How to use AI to build powerful market research tools

AssemblyAI

Today, market research platforms are turning to AI models, such as AI Speech-to-Text, Audio Intelligence models, and Large Language Models (LLMs), to build suites of advanced analysis tools for their customers. Produce digestible insights that can be easily categorized, tagged, and searched.

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A Brief Guide on how to build a Named Entity Extraction (NER) Model with Apache OpenNLP Library

Analytics Vidhya

Overview According to the internet, OpenNLP is a machine learning-based toolbox for processing natural language text. It has many features, including tokenization, lemmatization, and part-of-speech (PoS) tagging. Named Entity Extraction (NER) is one feature that can assist us to comprehend queries. Introduction to […].

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

AssemblyAI

  This article examines how Speech AI models can serve as foundational building blocks for these advanced AI video editing tools and platforms. Before we jump into Speech AI models, let’s first look more closely at what AI video editing is. What is AI video editing? What is AI video editing?