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WpythonW/elevenlabs_multilingual_v2-technical-speech

ElevenLabs Multilingual V2 Technical Speech Dataset This dataset contains automatically generated technical phrases in three domains, converted to speech using the ElevenLabs Multilingual V2 model with Adam voice. Dataset Description The dataset includes audio samples of technical phrases across three categories: Machine Learning (ML) Science Technology Each entry contains: Audio file in MP3 format (22050Hz) Source text Text length Category label… See the full description on the dataset page: https://huggingface.co/datasets/WpythonW/elevenlabs_multilingual_v2-technical-speech.

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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ElevenLabs Multilingual V2 Technical Speech Dataset

This dataset contains automatically generated technical phrases in three domains, converted to speech using the ElevenLabs Multilingual V2 model with Adam voice.

Dataset Description

The dataset includes audio samples of technical phrases across three categories:

  • Machine Learning (ML)
  • Science
  • Technology

Each entry contains:

  • Audio file in MP3 format (22050Hz)
  • Source text
  • Text length
  • Category label

Data Generation

The phrases were procedurally generated using predefined templates to create coherent technical statements. All audio was synthesized using:

  • Model: ElevenLabs Multilingual V2
  • Voice: Adam
  • Voice Settings:
  • Stability: 0.5
  • Similarity Boost: 0.75
  • Style: 0.0
  • Speaker Boost: Enabled

Sample Entry

python
{
    'audio': 'path/to/audio.mp3',
    'text': 'The Distributed computing infrastructure leveraging containerized applications efficiently orchestrates high-throughput transactions...',
    'length': 195,
    'category': 'tech_phrase'
}