The TIMIT Acoustic-Phonetic Continuous Speech Corpus dataset is a standard dataset used for the evaluation of automatic speech recognition systems. It contains recordings of 630 speakers. Also, the recordings include eight dialects of American English. Each speaker in the dataset reads 10 phonetically-rich sentences. The TIMIT corpus includes time-aligned orthographic, phonetic, and word transcriptions. It also includes a 16-bit, 16kHz speech waveform file for each phrase said. The TIMIT corpus transcriptions have been hand-verified.
Download TIMIT Dataset in Python
Instead of downloading the TIMIT dataset in Python, you can effortlessly load it in Python via our open-source package Hub with just one line of code.
Load TIMIT Dataset Training Subset in Python
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import hub
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ds = hub.load("hub://activeloop/timit-train")
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Load TIMIT Dataset Testing Subset in Python
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import hub
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ds = hub.load("hub://activeloop/timit-test")
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TIMIT Dataset Structure
TIMIT Data Fields
audios: tensor represent audio in wav format.
texts: tensor representing the text spoken in audio.
dialects: tensor representing the dialect of the speaker.
is_sentences: tensor to identify if the audio is a sentence.
is_word_files: tensor to identify if the audio is word.
is_phoenetics: tensor to identify if the audio is phonetic.
Paper: Garofolo, John S., et al. TIMIT Acoustic-Phonetic Continuous Speech Corpus LDC93S1. Web Download. Philadelphia: Linguistic Data Consortium, 1993.
Timit Dataset Curators
John S. Garofolo, Lori F. Lamel, William M. Fisher, Jonathan G. Fiscus, David S. Pallett, Nancy L. Dahlgren, Victor Zue
TIMIT Dataset Licensing Information
Hub users may have access to a variety of publicly available datasets. We do not host or distribute these datasets, vouch for their quality or fairness, or claim that you have a license to use the datasets. It is your responsibility to determine whether you have permission to use the datasets under their license.
If you're a dataset owner and do not want your dataset to be included in this library, please get in touch through a GitHub issue. Thank you for your contribution to the ML community!
Timit Dataset Citation Information
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@inproceedings,
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title = {TIMIT Acoustic-Phonetic Continuous Speech Corpus},
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author = {John S. Garofolo, Lori F. Lamel, William M. Fisher, Jonathan G. Fiscus, David S. Pallett, Nancy L. Dahlgren, Victor Zue},
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booktitle = {Linguistic Data Consortium, },
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year = {1993}
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}
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TIMIT Dataset FAQs
What is the TIMIT dataset for Python?
The TIMIT dataset is a speech dataset that is often used for the evaluation of automatic speech recognition systems. It was developed by Texas Instruments and MIT with DARPA's (Defense Advanced Research Projects Agency) financial support. It is often used in the domain of speech recognition.
How to download the TIMIT dataset in Python?
You can load TIMIT dataset fast with one line of code using the open-source package Activeloop Hub in Python. See detailed instructions on how to load TIMIT dataset training subset in Python.
How can I use TIMIT dataset in PyTorch or TensorFlow?