197 Hours Korean Speech Dataset for ASR and AI Model Training

240 Hours Hindi Speech Dataset for ASR and AI Model Training

This dataset contains 240 hours of Hindi speech recordings collected from 401 native Indian speakers through scripted monologue tasks based on predefined scripts. The dataset covers diverse speech domains, including economy, entertainment, news, informal expressions, numbers, alphabet reading, and general language scenarios. Recordings were collected from both quiet and noisy conditions to capture real-world acoustic variations. Each audio sample is provided with accurate transcription and speaker-related metadata. 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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227 Hours Multi-Accent Spanish Speech Dataset with Transcripts for ASR Training

This dataset contains 227 hours of Spanish scripted speech recorded as monologues based on predefined texts. It includes recordings from 352 native speakers from Spain, Mexico, Venezuela, and other Spanish-speaking regions. The speech content covers economics, entertainment, news, informal language, numbers, alphabet sequences, and other general domains. Each recording includes high-quality transcripts, timestamps, noise labels, and additional speaker metadata. 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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231.9 Hours French Speech Dataset with Diverse Speakers for AI Training

This dataset contains 231.9 hours of French scripted monologue speech collected from native speakers based on predefined scripts. The recordings cover multiple domains, including economy, entertainment, news, informal speech, numbers, and alphabet sequences. Each audio sample includes accurate transcripts and additional metadata. The dataset was collected from 406 speakers from France, Canada, and African French-speaking regions, 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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199 Hours British English Speech Dataset for ASR and Voice AI Training

This dataset contains 199 hours of scripted British English speech collected from 346 native British speakers using smartphone devices. The recordings are based on predefined texts covering various domains, including news, entertainment, economy, informal expressions, numbers, alphabetic content, and other general speech scenarios. Each audio sample is transcribed with corresponding text content and additional metadata attributes. 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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215 Hours American English Speech Dataset with Reading-style Speech

This dataset contains 215 hours of American English scripted read speech collected from 349 native speakers using mobile devices. The recordings are based on predefined scripts covering various content categories, including economy, entertainment, news, informal speech, numbers, and alphabet reading. Each audio sample is transcribed with corresponding text content and additional metadata. 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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127 Hours Malay Speech Dataset with 156 Native Speakers for AI Training

This dataset contains 127 hours of Malay speech recordings collected from 156 native Malaysian speakers through scripted monologue tasks based on predefined texts. The dataset covers diverse speech domains, including economy, entertainment, news, informal expressions, numbers, alphabet reading, and general language scenarios. Each audio sample is provided with accurate transcription and additional metadata attributes. Collected from diverse speakers with different speaking styles, this dataset can enhance 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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359 Hours Indonesian Speech Dataset for ASR and Speech Recognition Training

This dataset contains 359 hours of scripted Indonesian speech recordings collected from 496 native Indonesian speakers based on predefined scripts. The recordings cover diverse content domains, including economy, entertainment, news, informal expressions, numbers, and alphabet-related speech. Each audio sample is provided with accurate transcription and additional speaker metadata attributes. 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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203 Hours Thai ASR Dataset with Prompt-based Speech Recordings

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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197 Hours Korean Speech Dataset for ASR and AI Model Training

korean speech dataset

korean ASR dataset

korean speech corpus

korean speech recognition dataset

korean audio dataset

voice AI training data

Current Project Maturity

197 Hours Korean Speech Dataset for ASR and AI Model Training

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Current Project Maturity

korean speech dataset

korean ASR dataset

korean speech corpus

korean speech recognition dataset

korean audio dataset

voice AI training data