{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/11"}],"enrichment":{"capability":"Provides pretrained neural network models for audio tagging and sound event detection on audio files using PANNs (Pretrained Audio Neural Networks).","skillfed_tags":["audio-analysis","pretrained-models","sound-detection"],"use_cases":["Classify audio clips into semantic categories (speech, music, vehicle sounds, etc.) with confidence scores for content moderation or audio organization.","Detect and timestamp specific sound events within longer audio recordings for audio annotation or event-based analysis.","Extract audio embeddings from pretrained models for downstream machine learning tasks like clustering or similarity search.","Prototype audio understanding features in applications without the overhead of training custom models from scratch."],"what_it_does":"panns_inference wraps pretrained audio neural networks from the PANNs project to perform two main tasks: audio tagging (labeling what sounds are present in an audio clip with confidence scores) and sound event detection (identifying when specific sounds occur within an audio file). It loads audio via librosa, feeds it through pretrained convolutional neural network models, and returns either clip-level tags with probabilities or frame-level event predictions. The package is designed for researchers and developers who want to apply pretrained audio understanding without training their own models.\n\nThe package depends on librosa for audio loading and preprocessing, matplotlib for visualization, and torchlibrosa for PyTorch-compatible audio feature extraction. It requires PyTorch >= 1.0 and Python >= 3.6. Since the last release was in March 2023 and the repository shows no recent commits, the package is in maintenance limbo\u2014it will work with existing code but should not be expected to receive updates for compatibility with newer dependencies.","worth_installing":"Yes, if you need audio tagging or sound event detection and can tolerate dormant maintenance. The package is stable, has no known vulnerabilities, and low install friction. However, do not expect bug fixes or updates\u2014verify that the pretrained models and PyTorch compatibility meet your production requirements before committing to it for critical systems."},"id":"panns-inference","links":{"html":"https://skillfed.io/packages/panns-inference","md":"https://skillfed.io/packages/panns-inference.md","pypi":"https://pypi.org/project/panns-inference/"},"maintenance":{"status":"dormant"},"meta":{"latest_release":"2023-03-26","license_spdx":null,"license_treatment":"permissive","name":"panns-inference","python_support":"supports_current","summary":"panns_inference: audio tagging and sound event detection inference toolbox"},"popularity":{"monthly_downloads":81794,"position":14200,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.1.1"}