196 Hours Urdu Speech Dataset for ASR and AI Model Training

200 Hours Malay Speech Dataset for ASR and Conversational AI Training

This dataset contains 200 hours of spontaneous Malay speech collected through natural dialogue recordings based on predefined topics covering more than 20 domains. The dataset was recorded from 228 native Malay speakers and includes transcriptions, speaker IDs, gender, age, and other 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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230 Hours Burmese Speech Dataset for ASR and Speech Recognition AI Training

This dataset contains 230 hours of Burmese spontaneous speech data collected from real-world scenarios. Each audio recording includes transcripts, speaker ID, gender, and additional metadata. The dataset was collected from diverse Burmese speakers with different geographic and demographic 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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503 Hours Russian Speech Dataset for Voice AI and Conversational Models

This dataset contains 503 hours of Russian speech recordings collected from native Russian speakers, covering natural conversational and monologue speech scenarios. The dataset captures real-world speaking styles across various topics and daily communication scenarios. Each audio sample includes accurate transcription and speaker metadata, such as speaker ID, gender, and other 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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396 Hours Korean Speech Dataset with Natural Conversations and Monologues

This dataset contains 396 hours of real-world Korean speech recordings, including natural conversations and monologue speech collected from native Korean speakers. Each audio sample includes accurate transcription, speaker ID, gender information, and other 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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1003 Hours - Hindi Speech Dataset (Spontaneous Conversation)

This dataset contains 1003 hours of Hindi speech audio, mirrors real-world interactions. Each utterance is transcribed with text content, speaker's ID, gender, and other attributes. Our dataset was collected from extensive and diversify speakers, geographicly speaking, 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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1900 Hours Indonesian Speech Dataset with Real-world Speech Recordings

This dataset contains 1900 hours of real-world Indonesian speech collected from natural conversations and monologue recordings. Each audio sample is transcribed with corresponding text content, speaker ID, gender, 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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1,013 Hours British English Speech Dataset with Real-world Audio Recordings

This dataset contains 1,013 hours of British English speech reflecting real-world conversations and natural spoken language patterns. The recordings include casual conversations and monologue speech across diverse topics. Each audio sample is transcribed with corresponding text content, speaker ID, gender, and other metadata attributes. This dataset is collected from a wide range of British speakers with diverse backgrounds, improves the model's performance on real-world, 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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Korean Telephony Speech Dataset – 136 Hours of Spontaneous Calls

This Korean Telephony Speech Dataset contains 136 hours of spontaneous dialogue recorded over phone calls. Covering over 20 real-life domains including customer service, e-commerce, finance, travel, and daily conversations, the dataset features natural two-speaker conversations collected via diverse telephony channels. Each sample is transcribed and annotated with speaker ID, gender, age, and other metadata. Data was collected from 216 native Korean speakers across different regions, enhancing model generalization. Ideal for automatic speech recognition (ASR), speaker diarization, and call center conversational AI systems. All data complies with GDPR, CCPA, and PIPL for responsible and legal AI development.

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196 Hours Urdu Speech Dataset for ASR and AI Model Training

Urdu speech dataset

Urdu asr dataset

Urdu speech recognition dataset

Urdu audio dataset

Current Project Maturity

196 Hours Urdu Speech Dataset for ASR and AI Model Training

Urdu speech dataset Urdu asr dataset Urdu speech recognition dataset Urdu audio dataset

Current Project Maturity

Urdu speech dataset

Urdu asr dataset

Urdu speech recognition dataset

Urdu audio dataset