
The Mizo Audio Segmented ASR and TTS Dataset with Transcripts is a collection of segmented Mizo speech recordings paired with accurate text transcripts. The dataset is created from publicly available open-source audio recordings, which have been segmented into sentence-level and utterance-level clips, with each segment aligned to its corresponding transcript. Designed for Automatic Speech Recognition (ASR), Text-to-Speech (TTS), speech processing, and multilingual speech AI research, the dataset
Developed by Mizomade Private Limited, this dataset represents a significant effort toward advancing digital speech resources for the Mizo language. The audio recordings are sourced from publicly available open-source resources, and each recording has been carefully segmented into smaller utterances before being paired with accurate transcripts. We have taken great care in segmenting the recordings, preparing and validating the transcripts, normalizing text, and organizing the dataset to ensure high quality, accuracy, and consistency. Multiple rounds of review and quality assurance have been performed to improve transcription accuracy, segment alignment, and overall reliability. While every effort has been made to maintain high standards, speech data is inherently diverse and context-dependent, with variations in pronunciation, accent, dialect, speaking style, speaking rate, and recording conditions. Users are encouraged to perform task-specific evaluation and validation when deploying models trained on this dataset in real-world applications. Our goal is to contribute to the growth of Mizo language technology, promote language preservation and digital inclusion, and foster innovation in speech AI for Mizo-speaking communities.
The Mizo Audio Segmented Asr And Tts Dataset With Transcripts Was Created To Support Research And Development In Automatic Speech Recognition (Asr), Text-to-speech (Tts), Speech Processing, Multilingual Artificial Intelligence, And Language Technology For The Mizo Language. By Providing Segmented Audio Recordings From Publicly Available Open-source Resources Together With Accurately Aligned Transcripts, The Dataset Is Suitable For Training, Evaluating, And Benchmarking Asr And Tts Models, As Well As Other Speech And Language Ai Systems. It Aims To Promote Digital Inclusion, Language Preservation, And The Development Of Ai Tools That Better Serve Mizo-speaking Communities. The Dataset Has Been Carefully Segmented, Transcribed, Curated, Cleaned, Validated, And Organized To Ensure Accuracy, Consistency, And Usability For Academic Research, Industrial Applications, And Commercial Speech Ai Solutions.
Attribution-Non-Commercial 4.0 International (CC BY-NC 4.0)
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