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The tourists now start a three-team one-day tournament, also including New Zealand A.
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During the same year he was named physician at the Allerheiligen Hospital in Breslau.
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The College had its fourth Principal, Alexander Keir, succeeding Frederick Joseph Morten.
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The next day, Hubbell and his family were all found dead.
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All tracks written and composed by Henry Priestman except where noted.
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Various sampradayas emerged from these four, which are quite different from them.
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Throat Microphone Dataset

Dataset Summary

A high-quality dataset of throat microphone (laryngophone) recordings specifically designed for fine-tuning Whisper and other speech recognition models. The dataset consists of carefully selected English sentences recorded using a throat microphone, which captures speech through vibrations in the throat rather than air-conducted sound.

Supported Tasks

This dataset is suitable for:

  • Automatic Speech Recognition (ASR)
  • Speech-to-Text
  • Voice Activity Detection
  • Throat Microphone Adaptation

Languages

The dataset contains English-language recordings only.

Dataset Structure

Data Instances

Each instance in the dataset contains:

  • audio: A dictionary containing the audio data:
    • bytes: The raw audio bytes
    • path: Path to the audio file
    • sampling_rate: 16000 (16kHz)
  • text: The transcription of the audio
  • duration: Length of the audio in seconds

Data Fields

  • audio: Audio file in WAV format (16kHz mono)
  • text: String containing the transcription
  • duration: Float value representing duration in seconds

Data Splits

The dataset is provided as a single training split.

Dataset Creation

Curation Rationale

This dataset was created to address the lack of high-quality throat microphone data for training speech recognition models. Throat microphones are particularly useful in noisy environments as they capture speech directly through throat vibrations.

Source Data

Initial Data Collection and Normalization

Sentences were carefully selected to ensure:

  • Complexity suitable for model training (12-25 words)
  • Proper grammar and punctuation
  • Mix of statement types
  • Natural language patterns
  • Varied vocabulary
  • Balanced phonetic content

Annotations

The annotations (transcriptions) are the original sentences used for recording, ensuring 100% accuracy.

Considerations for Using the Data

Social Impact of Dataset

This dataset can help improve speech recognition in:

  • High-noise environments
  • Military and emergency services communications
  • Industrial settings
  • Assistive technology for voice disorders

Discussion of Biases

The dataset:

  • Contains only English language
  • Uses standard English pronunciation
  • May not represent all accents or dialects
  • Recorded by a limited number of speakers

Other Known Limitations

  • Limited to throat microphone recordings
  • May not generalize well to regular microphone input
  • Fixed recording duration of approximately 10 seconds per utterance

Additional Information

Dataset Curators

This dataset was curated by Paul Han and contributors.

Licensing Information

This dataset is released under the MIT License.

Citation Information

If you use this dataset, please cite:

@misc{throatmic_dataset,
  title={Throat Microphone Dataset for Speech Recognition},
  author={Han, Paul},
  year={2024},
  publisher={Hugging Face},
  howpublished={\url{https://huggingface.co/datasets/pauljunsukhan/throatmic_codered}}
}

Contributions

Thanks to all contributors who helped create and maintain this dataset.

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