Gojjam Dialect Amharic Speech and Text Corpus

A parallel speech corpus containing audio recordings paired with text transcripts for the Gojjam dialect of Amharic. It is curated by leyu-amharic to support speech technology research. The dataset was last updated in March 2026.

Use Cases

• Train Automatic Speech Recognition (ASR) models to transcribe Gojjam dialect audio into text transcripts.
• Develop Text-to-Speech (TTS) systems using the paired audio recordings and text transcripts for dialect synthesis.
• Analyze dialect-specific phonetic variations and accent patterns captured in the audio recordings.
• Fine-tune pre-trained multilingual speech models on the Gojjam dialect's parallel speech-text data.

Strengths

• Parallel corpus structure with audio recordings paired with corresponding text transcripts.
• Specifically captures dialect-specific phonetic variations and accent patterns of the Gojjam dialect.

Limitations

• Unknown total size, row count, and recording duration limits evaluation of scale.
• Geographic and demographic coverage within the Gojjam region is unspecified, potentially introducing bias.

Provenance

Source

leyu-amharic on Hugging Face.

Collection Method

Curated collection of audio recordings and corresponding transcripts.

Time Range

null

Freshness

Last updated in March 2026.

Geography

Focus on the Gojjam dialect of the Amharic language.