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203 Hours Thai ASR Dataset with Prompt-based Speech Recordings

Thai Speech Dataset
Thai ASR Dataset
Thai Speech Recognition Dataset
Thai Audio Dataset

This dataset contains 203 hours of Thai speech collected through prompted monologue recordings using smartphone devices. The recordings are based on predefined scripts and cover multiple domains, including economics, entertainment, news, conversational language, numbers, and letters. Each audio includes accurate text transcripts and related metadata. The dataset was collected from 498 native Thai speakers with diverse 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.

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SpecificationsSpecifications
Format
16kHz, 16bit, uncompressed wav, mono channel
Content category
Economy, entertainment, news, oral language, numbers, letters
Recording condition
Low background noise (indoor)
Recording device
Android smartphone, iPhone
Country
Thailand(THN)
Language(Region) Code
th-TH
Language
Thai
Speaker
498 people from Thailand, 57% female and 43% male
Features of annotation
Transcription text, 5 noise symbols, special identifiers
Device
Android mobile phone, iPhone
Accuracy rate
Word Accuracy Rate(WAR) 95%
Sample Sample
  • Audio

    จนสาวหยาดต้องโพสต์อินสตาแกรม

  • Audio

    ซึ่งหลังจากได้มาสอนที่เมืองไทย

  • Audio

    การปลูกฝิ่นในอัฟกานิสถาน[[lipsmack]]ในปีสอง[[lipsmack]]พันห้าร้อยห้าสิบเจ็ดครอบคลุมพื้นที่สองแสนสองหมื่นสี่หมื่นเฮคตาร์

  • Audio

    กว่านี้ตามสถานการณ์จริง

  • Audio

    เครื่องดื่มแอลกอฮอล์

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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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