https://github.com/eonu/fsdd
Approximate Dynamic Time Warping (+kNN) and BiLSTM-RNN approaches to isolated word recognition on the Free Spoken Digit Dataset.
https://github.com/eonu/fsdd
audio-classification dtw dynamic-time-warping free-spoken-digit-dataset fsdd k-nearest-neighbors knn long-short-term-memory lstm mel-frequency-cepstral-coefficients mfcc-features pytorch sequence-classification variable-length-data
Last synced: 26 days ago
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Approximate Dynamic Time Warping (+kNN) and BiLSTM-RNN approaches to isolated word recognition on the Free Spoken Digit Dataset.
- Host: GitHub
- URL: https://github.com/eonu/fsdd
- Owner: eonu
- Created: 2020-05-21T14:51:40.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2020-06-27T17:42:35.000Z (almost 5 years ago)
- Last Synced: 2023-03-05T11:11:37.537Z (about 2 years ago)
- Topics: audio-classification, dtw, dynamic-time-warping, free-spoken-digit-dataset, fsdd, k-nearest-neighbors, knn, long-short-term-memory, lstm, mel-frequency-cepstral-coefficients, mfcc-features, pytorch, sequence-classification, variable-length-data
- Language: Jupyter Notebook
- Homepage:
- Size: 29.4 MB
- Stars: 6
- Watchers: 3
- Forks: 1
- Open Issues: 0