Beifong: Your Junk-Free, Personalized Information and Podcasts

Introduction 🦉 Beifong is a sophisticated AI-powered content curation and podcast generation platform that transforms how you consume and interact with information. Named after the legendary earthbender Toph Beifong, this platform cuts through the noise to deliver personalized, high-quality content automatically. Beifong manages your trusted articles and social media sources, generating podcasts from the content you trust and curate. It handles the complete pipeline - from data collection and analysis to the production of scripts, visuals, and audio content. ...

June 7, 2025 Â· 7 min Â· 1445 words Â· Arun

Mel Spectrogram

Introduction Mel spectrogram is an audio analyzing technique which is predominantly applied to raw audio form as a preprocessing step before passing to any model for predictions. For example, speech-to-text models’ input raw audio is converted into mel spectrogram before passing to the model. In general, mel spectrogram is a kind of visualization technique which takes into account how the human ear perceives audio frequencies during this low dimensional conversion process. Compared to the raw audio waveform and the more natural way humans perceive audio, these are all the predominant reasons we prefer audio in mel spectrogram form. ...

March 23, 2025 Â· 12 min Â· 2394 words Â· Arun

Bharat-NanoBEIR: Indian Language Information Retrieval Dataset

The Bharat-NanoBEIR dataset is part of a collection that provides information retrieval datasets for Indian languages. It is derived from the NanoBEIR project, which offers smaller versions of BEIR datasets with 50 queries and up to 10K documents each. Dataset Overview Queries: 50 per dataset Documents: Up to 10K per dataset This dataset aims to facilitate research and development in the field of information retrieval, particularly for Indian languages. Learn More For further details and to explore the dataset, please visit the following link: ...

March 13, 2025 Â· 1 min Â· 88 words Â· Arun