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240 Hours Hindi Speech Dataset for ASR and AI Model Training
hindi speech corpus
hindi audio dataset
hindi asr dataset
hindi conversational speech dataset
hindi speech dataset
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.
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, uncompressed wav, mono channel;
Recording condition
Mixed(304 people recorded in quiet indoor environment, without echo; and 97 in normal condition with noise that does not affect voice recognition);
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.
Specifications
Sample
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