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Home > All Category Datasets > Speech Recognition Datasets > 534 Hours Taiwanese-Accented Mandarin Speech Dataset for Speech Recognition

534 Hours Taiwanese-Accented Mandarin Speech Dataset for Speech Recognition

taiwanese mandarin speech dataset
taiwanese speech dataset
mandarin conversational speech dataset
mandarin asr dataset
accented speech dataset
taiwanese accent dataset

This dataset was collected from spontaneous conversations based on predefined discussion topics. It includes transcriptions, timestamps, speaker IDs, gender, and other metadata. Our dataset was collected from speakers with diverse geographical and background profiles, thereby enhancing the model's performance in real-world, complex tasks; the dataset has undergone quality validation by multiple 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.

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SpecificationsSpecifications
Format
16 kHz, 16 bit, uncompressed wav, mono channel;
Content category
Dialogue based on given topics
Recording condition
Low background noise (indoor)
Recording device
Android smartphone, iPhone
Country
Chinese(CN)
Language(Region) Code
zh
Language
Mandarin
Speaker
480 native speakers in total
Features of annotation
Transcription text, timestamp, speaker ID, gender, noise
Accuracy rate
Sentence accuracy rate(SAR) 95%
Sample Sample
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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.

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