Automatic Speech Recognition Language Model Corpus

Asr Book Lm V2.3 is a text corpus for language modeling in automatic speech recognition systems, created by Jiejie. The dataset was last updated in March 2022.

Use Cases

• Train language models on text corpus features to improve ASR decoding and reduce word error rates.
• Fine-tune acoustic models using paired speech and text data for domain-specific speech recognition.
• Generate synthetic speech data by combining text corpus features with text-to-speech models.
• Benchmark ASR system performance on text-based language modeling tasks.

Strengths

• Dataset is categorized as containing over 1,000 to 10,000 text entries based on platform tags.
• Includes modality tags for both text and automatic speech recognition, indicating multimodal applicability.

Limitations

• Specific row count, column names, and data size are unknown, limiting precise assessment of scale.
• Data is from 2022, potentially lacking recent linguistic trends or vocabulary.
• Geographic and demographic coverage of the text corpus is unspecified, which may introduce bias.

Provenance

Source

Jiejie via Hugging Face.

Collection Method

Collection method is unknown; likely a compiled text corpus for language modeling.

Time Range

null

Freshness

Last updated in March 2022.

Geography

Platform tags indicate Region 'us', suggesting a potential US focus, but not confirmed.