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Datasets/BIRD (Big Impulse Response Dataset)

BIRD (Big Impulse Response Dataset)

AudioUnknownIntroduced 2020-10-19

BIRD (Big Impulse Response Dataset) is an open dataset that consists of 100,000 multichannel room impulse responses (RIRs) generated from simulations using the Image Method, making it the largest multichannel open dataset currently available. These RIRs can be used to perform efficient online data augmentation for scenarios that involve two microphones and multiple sound sources.

Related Benchmarks

BIRD (BIg Bench for LaRge-scale Database Grounded Text-to-SQL Evaluation)/Semantic Parsing/Execution Accuracy % (Dev)BIRD (BIg Bench for LaRge-scale Database Grounded Text-to-SQL Evaluation)/Semantic Parsing/Execution Accuracy % (Test)BIRD (BIg Bench for LaRge-scale Database Grounded Text-to-SQL Evaluation)/Semantic Parsing/Execution Accurarcy (Human)BIRD (BIg Bench for LaRge-scale Database Grounded Text-to-SQL Evaluation)/Text-To-SQL/Execution Accuracy % (Dev)BIRD (BIg Bench for LaRge-scale Database Grounded Text-to-SQL Evaluation)/Text-To-SQL/Execution Accuracy % (Test)BIRD (BIg Bench for LaRge-scale Database Grounded Text-to-SQL Evaluation)/Text-To-SQL/Execution Accurarcy (Human)BIRDSAI - ICVGIP 2020/Object Tracking/AnimalsBIRDSAI - ICVGIP 2020/Object Tracking/HumansBird-225/Fine-Grained Image Classification/AccuracyBird-225/Image Classification/AccuracyBirdCLEF 2021/Audio Classification/AccuracyBirdCLEF 2021/Classification/AccuracyBirdClef 2020 (Pruned)/Few-Shot Learning/Top-1 Accuracy(5-Way-1-Shot)BirdClef 2020 (Pruned)/Meta-Learning/Top-1 Accuracy(5-Way-1-Shot)Birdsnap/Fine-Grained Image Classification/AccuracyBirdsnap/Image Classification/AccuracyBirdsnap/Image Clustering/Accuracy

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