DialectalSpeech-ICL: African American English Speech Recognition Dataset

A stratified sample of utterances from the DialectalSpeech-ICL dataset, which contains African American English speech across multiple regional varieties. The dataset provides audio clips, verbatim transcripts, and speaker/region metadata. It was created by CentificAIResearch and last updated on June 17, 2026.

Use Cases

• Evaluating ASR model performance on African American English based on audio clips and reference transcripts.
• Benchmarking in-context-learning approaches for dialectal speech recognition.
• Analyzing regional variation in African American English based on speaker/region metadata.
• Training or fine-tuning speech models on low-resource dialectal data.

Strengths

• Focuses on African American English, a dialectal and low-resource speech domain.
• Includes speaker and region metadata intended for structured analysis.
• Dataset is a stratified sample designed to represent multiple regional varieties.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and license information are unknown.
• Last updated 2026-06-17 09:55:53; freshness should be verified.

Provenance

Source

CentificAIResearch via Hugging Face.

Collection Method

A stratified sample of utterances drawn across all regional collections.

Freshness

Last updated 2026-06-17 09:55:53.

Geography

Multiple regional varieties of African American English.