Accented English Speech Data for ASR Competition

Comprising accented English speech data from the Interspeech 2020 competition. The accompanying text has been manually proofread for high accuracy. It is suitable for automatic speech recognition, machine translation, and voiceprint recognition tasks.

Use Cases

• Train an automatic speech recognition model on manually proofread accented English audio and text pairs.
• Develop accent adaptation models for voiceprint recognition systems using the labeled speech data.
• Fine-tune machine translation models on the transcribed English speech data from the competition.

Strengths

• Manually proofread text ensures high label accuracy for model training.
• Data originates from a recognized academic competition (Interspeech 2020).

Limitations

• The dataset size is categorized as 'n1K', indicating it may contain only around 1,000 samples.
• Limited metadata is available regarding speaker demographics, recording conditions, or specific accent distributions.

Provenance

Source

Nexdata, sourced from the Interspeech 2020 Accented English Speech Recognition Competition.

Collection Method

Data was collected for a competition; text was manually proofread.

Freshness

The dataset card was last updated on 2024-08-09.

Geography

The 'Regionus' tag suggests a focus on US English accents, but specific coverage is unknown.