ESpeech/ESpeech-webinars2

Webinar Audio Dataset

Dataset Description

This dataset contains 850 hours processed webinar audio segments with corresponding metadata. Each audio file represents a segment extracted from webinar recordings, processed at 44.1kHz sample rate.

Dataset Summary

• Language: Russian
• Task: TTS, ASR, Quality Asessment
• Audio format: MP3, 44.1kHz sample rate
• Structure: Segmented audio files with JSON metadata

Dataset Structure

Data Fields

Basic Information

• audio: Audio data (44.1kHz sample rate, MP3 format)
• file_name: Name of the audio segment file (format: <original_name>_<idx>.mp3)
• segment_index: Index of the audio segment within the original webinar
• original_name: Original name of the webinar recording

Transcription and Timing

• text: Transcribed text of the audio segment
• start: Start time of the segment in seconds
• end: End time of the segment in seconds
• words: Word-level timestamps and confidence scores

Speaker Information

• speaker: Speaker identifier (e.g., "SPEAKER_00")

Quality Metrics

• emos_overall: It's not utmos, it's EMOS overall quality score
• emos_1, emos_2, emos_3: EMOS quality scores
• noise_confidence: Noise detection confidence

Segment Structure

• num_sentences: Number of sentences (for merged segments)
• original_segments: Original subsegments data (for merged segments)

VAD (Voice Activity Detection)

• vad_trimmed: Whether VAD trimming was applied
• vad_start: VAD start time
• trim_ratio: Ratio of trimmed audio

Data Splits

• Train: All available webinar segments

Dataset Creation

Source Data

The dataset consists of webinar recordings that have been processed and segmented. Each webinar is split into multiple audio segments, with each segment saved as a separate MP3 file.

Usage

Loading the Dataset

Load all files and unpack using cat webinars_stripped_archive.tar.aa webinars_stripped_archive.tar.ab webinars_stripped_archive.tar.ac webinars_stripped_archive.tar.ad webinars_stripped_archive.tar.ae webinars_stripped_archive.tar.af webinars_stripped_archive.tar.ag > webinars_stripped_archive.tar && tar -xf webinars_stripped_archive.tar

Additional Information

Special Thanks

Special thanks to @bethrezen for providing webinars dataset.

Licensing Information

MIT License - see LICENSE file for details.

Citation Information

@dataset{webinar_audio_dataset,
  title={Webinar Audio Dataset},
  authors={Denis Petrov}
  year={2025},
  url={https://huggingface.co/datasets/ESpeech/ESpeech-webinars2/}
}