Tejasva-Maurya/English-Technical-Speech-Dataset

English Technical Speech Dataset

Overview

The English Technical Speech Dataset is a curated collection of English technical vocabulary recordings, designed for applications like Text-to-Speech (TTS), Automatic Speech Recognition (ASR), and Audio Classification. The dataset includes 11,247 entries and provides audio files, transcriptions, and speaker embeddings to support the development of robust technical language models.

• Language: English (technical focus)
• Total Entries: 11,247
• File Format: Parquet
• Sampling Rate: 16 kHz

Domain and Use Cases

Primary Domain: Technical Speech Processing

This dataset is ideal for use in:

• Text-to-Speech (TTS) Systems: Facilitating the generation of technical language audio.
• Automatic Speech Recognition (ASR): Improving transcription accuracy on technical vocabulary.
• Customer Support AI: Enhancing systems that recognize and respond to complex terminology.

Use Cases

• ASR for Technical Support: Optimized for recognizing industry-specific vocabulary in customer service.
• Educational Transcriptions: Useful for e-learning platforms focusing on technical material.
• Technical Support Tools: Enhances AI tools in areas such as IT help desks.

Data Structure

The dataset is stored in a Parquet file and has three main columns:

1. audio: Contains the audio data recorded at a 16 kHz sampling rate.
2. text: Transcriptions of the audio content.
3. speaker_embeddings: Speaker embeddings generated with SpeechBrain's x-vector model for each audio file, providing vector representations of speaker characteristics.

Sample Data Structure

Column	Description
audio	Audio file in 16 kHz WAV format
text	Text transcription of the corresponding audio
speaker_embeddings	Vectorized embeddings representing speaker identity

Speaker Embeddings

Speaker embeddings were generated using the SpeechBrain x-vector model to capture speaker characteristics. This vector data is provided in the speaker_embeddings column and can be used for speaker identification or verification.

Getting Started

To load and work with this dataset, you can use the datasets library from Hugging Face:

from datasets import load_dataset

ds = load_dataset("Tejasva-Maurya/English-Technical-Speech-Dataset", split = "train")

Example Data

Each row in the dataset includes:

• Audio: WAV audio data with a 16 kHz sampling rate
• Text: Corresponding transcription for each audio sample
• Speaker Embedding: Vectorized representation of speaker identity

Dataset Composition and Sources

This dataset combines:

• Custom Audio Recordings: Self-recorded technical vocabulary, with the assistance of Saurabh Kumar for additional recordings.
• Open-Source Data from GitHub:Sample set (Pure-set) from
  • NPTEL2020-Indian-English-Speech-Dataset
• Technical Speech Data from Hugging Face:
  • TTS_English_Technical_data

These sources contribute to the dataset’s focus on high-quality technical language audio and transcription accuracy.

License and Citation

This dataset is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0). If you use this dataset, please cite it.

Acknowledgments

Special thanks to Saurabh Kumar for assisting with custom audio recordings, and to AI4Bharat, Yassmen, and other contributors for their open-source datasets. This dataset is part of a larger effort to improve technical language understanding and processing in AI.

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