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Home > All Category Datasets > Speech Recognition Datasets > 797 Hours Hindi Speech Dataset – 1,022 Native Indian Speakers

797 Hours Hindi Speech Dataset – 1,022 Native Indian Speakers

Hindi speech dataset
Hindi conversation dataset
hindi asr dataset
hindi tts dataset
hindi speech corpus
hindi audio dataset

This dataset contains 797 hours of spontaneous Hindi dialogue speech, collected from dialogues based on given topics, covering 20+ domains. Transcribed with text content, speaker's ID, gender, age and other attributes. Our dataset was collected from extensive and diversify speakers(1,022 native 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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SpecificationsSpecifications
Format
16kHz, 16 bit, wav, mono channel;
Content category
Dialogue based on given topics;
Recording condition
Low background noise (indoor);
Recording device
Android smartphone, iPhone;
Speaker
1,022 native speakers in total, 49% male and 51% female;
Country
India(IND);
Language(Region) Code
hi-IN;
Language
Hindi;
Features of annotation
Transcription text, timestamp, speaker ID, gender, PII redacted.
Accuracy Rate
Sentence Accuracy Rate (SAR) 95%
Sample Sample
  • Audio

    अ इन लोग के वीडिओज़ से काफी फायदा भी मिलता हैं और नई नई चीजे सीखने को मिलती है तो, उन लोगों को फॉलो करने से कोई मतलब नहीं है।

  • Audio

    नहीं पर कभी-कभार ऐसा होता है ना की यार आज मूड हो गया आज उस सेलिब्रिटी की मूवी लगी है अपन थिएटर में चलकर देखते है अपनी फॅमिली को ले जाते है।

  • Audio

    तो मेरा तो ऐसा मानना है की ये ज़्यादा बेनिफिशियल है की आप, इस टाइप की सेलेब्रिटीज़ को

  • Audio

    मैं जैसे फिर मैं यूट्यूब जगत में ज्यादा जाना पसंद करता हूँ कुछ यूट्यूबर्स अच्छे है जैसे डॉक्टर विवेक बिंद्रा हो गए।

  • Audio

    बाकि आपका फिर अक्षय कुमार के आलावा कौन उससे कम इस्तर वाला सेलिब्रिटी अच्छा लगता हैं आपको?

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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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