Mimba NNH TTS Dataset: Ngiemboon Synthetic Speech for Low-Resource TTS

A multi-speaker synthetic speech corpus for Ngiemboon (NNH), a Grassfields Bantu language of western Cameroon. Each item pairs a cleaned NNH sentence with machine-generated audio, intended for training on-device text-to-speech models. The dataset was created by 'mimba' and was last updated on 2026-06-24.

Use Cases

• Training small, on-device text-to-speech models based on the described cleaned NNH sentence and audio pairs.
• Fine-tuning speech synthesis models for the Ngiemboon language based on the provided synthetic speech corpus.
• Researching synthetic data generation and its application for low-resource language technologies based on the machine-generated audio described.

Strengths

• The dataset is described as 'clean' and is specifically designed for a low-resource language, Ngiemboon.
• It is a multi-speaker corpus, which likely provides variation for model training.

Limitations

• The audio is synthetic, generated by a TTS model and not recorded from human speakers, which may affect naturalness.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset size are unknown, which may limit suitability assessment.

Provenance

Source

huggingface

Collection Method

Machine-generated audio paired with cleaned text sentences.

Freshness

Last updated 2026-06-24 15:05:04; freshness should be verified.

Geography

Western Cameroon (language context: Ngiemboon)