leyu-amharic-wello-dialect

dataset_info:
  features:
    - name: text
      dtype: string
    - name: audio
      dtype: audio
    - name: dialect
      dtype: string
    - name: speaker_id
      dtype: string
    - name: gender
      dtype: string
  splits:
    - name: train
      num_bytes: 889332942
      num_examples: 4862
  download_size: 480207301
  dataset_size: 889332942
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
language:
  - am
license: cc-by-4.0
task_categories:
  - automatic-speech-recognition
  - text-to-speech
tags:
  - amharic
  - africa
  - ethiopia
  - dialect
  - speech
  - asr
  - tts
pretty_name: Leyu Amharic Wello Dialect

Leyu Amharic - Wello Dialect Speech Corpus

Dataset Description

This dataset is a curated parallel speech corpus consisting of audio recordings paired with corresponding text transcripts, focused on the Wello dialect of the Amharic language. It is designed to support speech technology research across multiple tasks, including Automatic Speech Recognition (ASR) and Text-to-Speech (TTS). The corpus captures dialect-specific phonetic variations, accent patterns, and prosodic characteristics unique to the Wello region.

All recordings were collected in real-world environments using mobile devices, introducing natural acoustic variability that improves model generalization. Each audio–text pair underwent manual review to ensure transcript accuracy and audio clarity.

Dataset Summary

Metadata Field	Value
Language	Amharic (am-ET)
Dialect	Wello
Audio Format	.wav
Total Hours	114.7 Hours
Recording Environment	Mobile / Crowdsourced (Verified)

Key Statistics

Total Duration: 114.7 Hours
Speaker Count: 68 Speakers (Male:27, Female: 41)
Data Quality: Mobile-recorded and manually verified for transcript alignment.

Data Collection & Quality Assurance

Recorded by contributors using mobile devices in real-world environments.
Manually reviewed to ensure transcript alignment and audio clarity.

Data Fields

Each sample contains:

text (string): transcript
audio (Audio): waveform/audio file
dialect (string): wello
speaker_id (string): anonymized speaker identifier
gender (string): male / female / unknown