Multitask National Speech Corpus V1: Singaporean Accent and Code-Switching Data

Multitask-National-Speech-Corpus V1 is a multitask speech understanding dataset derived from IMDA's NSC Corpus. It focuses on Singapore's local accent, localized terms, and code-switching, and was created by MERaLiON. The dataset page was last updated on 2025-01-21.

Use Cases

• Train Automatic Speech Recognition (ASR) models based on Singaporean accent and localized terms.
• Develop Speech Question Answering (SQA) systems using the annotated speech data.
• Perform Spoken Dialogue Summarization (SDS) based on the provided dialogue content.
• Conduct Paralinguistic Question Answering (PQA) analysis using the annotated paralinguistic features.

Strengths

• Dataset is explicitly designed for multitask learning across ASR, SQA, SDS, and PQA.
• Focuses on specific linguistic features: Singapore's local accent, localized terms, and code-switching.
• Derived from an authoritative source, the IMDA NSC Corpus.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and exact size are unknown, which may limit suitability assessment.
• License information is unknown, which could restrict usage.

Provenance

Source

Derived from IMDA's NSC Corpus.

Collection Method

Derived and further annotated from the source corpus.

Time Range

null

Freshness

Last updated 2025-01-21 03:54:47; freshness should be verified.

Geography

Likely focused on Singapore, based on the description of local accent and terms.