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Name: Arjun Pankajakshan
Type: User
Company: Queen Mary University of London
Bio: PhD Researcher in AI and Audio at Queen Mary University of London
Location: London
Name: Arjun Pankajakshan
Type: User
Company: Queen Mary University of London
Bio: PhD Researcher in AI and Audio at Queen Mary University of London
Location: London
Community list of startups working with AI in audio and music technology
Bird activity detection (BAD) deals with the task of predicting the presence or absence of bird vocalizations in a given audio recording. In this work, we propose an all-convolutional neural network (all-conv net) for bird activity detection. All the layers of this network including pooling and dense layers are implemented using convolution operations. The pooling operation implemented by convolution is termed as learned pooling. This learned pooling takes into account the inter featuremap correlations which are ignored in traditional max-pooling. This helps in learning a pooling function which aggregates the complementary information in various feature maps, leading to better bird activity detection. Experimental observations confirm this hypothesis. The performance of the proposed all-conv net is evaluated on the BAD Challenge 2017 dataset. The proposed all-conv net achieves state-of-art performance with a simple architecture and does not employ any data pre-processing or data augmentation techniques.
A pre-processing technique to automatically locate bird image frames from a long video data
Evaluation of ROI detection for bird images
A demo of an implementation of a custom perceptron model.
A summary of the LLM, Prompt Engineering, and ChatGPT related courses offered by DeepLearning.AI
Diffusion Models Course
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Introduction to Git and GitHub
Contrastive Language-Audio Pretraining
Memory controlled sequential self attention for sound recognition
Self-contained, minimalistic implementation of diffusion models with Pytorch.
ONSETS, ACTIVITY, AND EVENTS: A MULTI-TASK APPROACH FOR POLYPHONICSOUND EVENT MODELLING
POLYPHONIC SOUND EVENT AND SOUND ACTIVITY DETECTION:A MULTI-TASK APPROACH
A PowerBI dashboard analysing the 2022-23 season of FC Barcelona
A latent text-to-image diffusion model
High-Resolution Image Synthesis with Latent Diffusion Models
A LangChain and Streamlit powered LLM application to talk to OneFootball!
Talk to a scientific paper using the Streamlit app powered by LangChain and LLM
A LangChain and Streamlit powered LLM application to talk to your YouTube video transcript
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