tomas-gajarsky/speech-commands-lt
Speech Commands-LT (Long Tail) Long-tail variants of Google Speech Commands v0.02 for benchmarking imbalanced audio classification. Dataset Summary Speech Commands v0.02 (Warden, 2018) contains 35 spoken word classes with ~1,200-3,200 samples each. This dataset applies exponential decay to the training set to create long-tail distributions with varying imbalance ratios, simulating real-world class imbalance in audio classification. The _silence_ class (label 35)… See the full description on the dataset page: https://huggingface.co/datasets/tomas-gajarsky/speech-commands-lt.
Speech Commands-LT (Long Tail)
Long-tail variants of Google Speech Commands v0.02 for benchmarking imbalanced audio classification.
Dataset Summary
Speech Commands v0.02 (Warden, 2018) contains 35 spoken word classes with ~1,200-3,200 samples each. This dataset applies exponential decay to the training set to create long-tail distributions with varying imbalance ratios, simulating real-world class imbalance in audio classification.
The \silence\ class (label 35) is removed. Validation and test sets remain balanced for fair evaluation.
Configs
All configs share the same validation (9,981) and test (4,890) sets.
Features
- : Audio waveform (16kHz, ~1 second WAV clips)
- : ClassLabel (35 classes)
- , , , : metadata
Usage
Long-Tail Construction
Exponential decay is applied per class:
where is the imbalance ratio, , and is the largest class count. Random seed 42 is used for reproducible subsampling.
Source
Derived from beeneptune/speech_commands (parquet conversion of google/speech_commands v0.02).
Original paper: Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition (Warden, 2018)
License
CC BY 4.0 (same as the original Google Speech Commands dataset)