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Home > All Category Datasets > Speech Recognition Datasets > 759 Hours Hindi Speech Dataset for Speech Recognition and AI Training

759 Hours Hindi Speech Dataset for Speech Recognition and AI Training

hindi dialogue speech dataset
hindi conversational speech dataset
hindi phone call speech dataset
hindi telephony speech dataset
hindi audio dataset
hindi speech corpus
hindi tts dataset
hindi asr dataset

This dataset contains 759 hours of scripted Hindi speech collected from 1,425 native Indian speakers through monologue recordings based on predefined scripts. The recordings cover a wide range of speech scenarios, including general-purpose language, human-machine interaction, smart home commands, in-car voice commands, numbers, news, and other common speech applications. The dataset includes transcriptions and speaker-related metadata. With a large and diverse pool of native Hindi speakers, this dataset can 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;
Recording condition
Low background noise(indoor), without echo;
Content category
Generic domain; human-machine interaction; smart home command and control; in-car command and control; numbers; news;
Recording device
Android Smartphone, iPhone;
Speaker
1,425 speakers totally, with 54% male and 46% female; 66% of speakers are in the age group of 18~25, 31% speakers are in the age group of 26~45, and 3% speakers are in the age group of 46~60;
Country
India(IND);
Language(Region) Code
hi-IN;
Language
Hindi;
Features of annotation
Transcription text;
Accuracy Rate
Sentence Accuracy Rate (SAR) 95%
Sample Sample
  • Audio

    क्या इस क्रून बीच रिज़ॉर्ट में नॉनवेज खाना मिल सकता है?

  • Audio

    दस बजने में पंद्रह मिनट

  • Audio

    आप हमें यह उल्टा पाठ न पढ़ाएँ।

  • Audio

    नौ एक नौ एक आठ आठ पांच दो तीन नौ एक चार

  • Audio

    स्कूल पहुंचने पर नेहा को पता चलता है कि तीनों छोकरे शातिर अपराधी हैं

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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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