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341 Hours Malay Speech Dataset for Speech Recognition and Voice AI
Malay Speech Dataset
Malay ASR Dataset
Malay Speech Recognition Dataset
Malaysian Speech Dataset
Malay Audio Dataset
This dataset contains 341 hours of Malay speech collected from scripted monologue recordings using smartphone devices. Each recording includes accurate transcripts and additional metadata. The dataset was collected from diverse speakers with different demographic and geographic backgrounds, enhancing model performance in real and complex tasks. Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Format
16kHz,16bit,wav,mono channel
Recording environment
quiet indoor environment, without echo
Recording content
Chat, interactive, in-car, in-home, numbers
Country
Malaysia(MYS)
Language
Malay
Accuracy
Word Accuracy Rate (WAR) 98%(Punctuation and non-speech annotations are subjective, thus they are excluded from the accuracy statistics.)
Device
Android phone, iPhone
Speaker
300 Malaysians in total, including 134 males and 166 females
Language(Region) Code
ms-MY
Sample
Audio
Nyalakan enjin.
Audio
Saya sedang mencari kursus bahasa Inggeris, boleh beri cadangan?
What languages and scenarios are covered by Nexdata’s speech recognition datasets?
Nexdata offers speech recognition datasets covering a broad range of languages, dialects, and accents, backed by extensive global language resources. Our datasets include diverse speakers, acoustic environments, and real-world speech scenarios, supporting multilingual ASR, voice assistants, conversational AI, speech-to-text, and other speech-enabled applications.
Can Nexdata customize speech recognition datasets for specific languages or requirements?
Yes. If our off-the-shelf datasets do not fully meet your requirements, Nexdata provides flexible custom data collection, transcription, and annotation services. We can customize datasets based on target languages or dialects, speaker profiles, recording environments, speech scenarios, data volume, and annotation specifications to meet specific ASR development needs.
How does Nexdata ensure the quality and scalability of speech recognition datasets?
Nexdata applies multi-stage quality control throughout speech data collection, transcription, annotation, and validation. Combined with our extensive language resources and scalable collection capabilities, we can support both large-scale multilingual projects and specialized datasets for specific languages, dialects, accents, and speech scenarios.