---
title: "Hindi Speech Recognition Dataset"
description: "The Hindi speech dataset contains a large collection of audio recordings of real-world Hindi telephone dialogues between native speakers, offering annotated training data for speech…"
url: "https://unidata.pro/datasets/hindi-speech-recognition-dataset/"
date_modified: "2025-12-11T14:45:08+03:00"
language: "en-US"
---
The Hindi speech dataset contains a large collection of audio recordings of real-world Hindi telephone dialogues between native speakers, offering annotated training data for speech recognition, recognition systems, and NLP applications, making it an essential dataset for developing speech technology in Indian languages

## Dataset Structure

### The Numbers Section

**Numbered list:**

- **Number:** 10+ — **Text:** Hours
- **Number:** 20+ — **Text:** Speakers

### Tooltips Section

**Tooltip items:**

- **Name:** NLP
- **Name:** LLM
- **Name:** Machine Learning
- **Name:** Audio Processing
- **Name:** ASR
- **Name:** Voice Recognition

### Dataset Information

**Table with data:**

| Characteristic | Data |
| --- | --- |
| Description | Audio of telephone dialogues in Hindi for training NLP models in real-world conversational scenarios. |
| Data types | Audio |
| Tasks | Speech recognition, NLP |
| Country | India(IND) |
| Hours of telephone dialogue | 10 |
| Number of speakers | 20 |
| Labeling | Annotation (ID, Language, Format, Minutes) |
| Recording device | Telephone |

**Media Slider:** - **Image in the slider:** ![](https://unidata.pro/wp-content/uploads/2025/02/hindi-speech-recognition-dataset.webp)

**Link to the sample:** [Download sample](https://drive.google.com/drive/folders/1lg7IyFLAq3d0m5r67fX4wRZ-ns3HaR0V?usp=sharing)

### Technical Specifications

**Table with data:**

| Characteristic | Data |
| --- | --- |
| Audio Format | WAW, M4A, MP3 |
| Recording condition | Low background noise (indoor) |
| Duration | Mean =11 min |

**Source and data collection methodology:** Source and collection methodolog: Data was collected via crowdsourcing platforms

### Dataset Use Cases - Slider

**Industry Cards:**

- **Industry:** Call Centers & Customer Service — **Title:** Improving Hindi Telephone Dialogue Recognition — **Text:** Hindi Speech Recognition Dataset offers real audio recordings from everyday conversations. Since the dataset consists of Hindi speakers with varied accents, it helps call centers train recognition systems to handle diverse voices. This supports more accurate transcription, quicker responses, and better customer service across industries using speech recognition.
- **Industry:** AI & Machine Learning Research — **Title:** Building Models for Hindi Speech Processing — **Text:** This Hindi language dataset provides training data for machine learning and deep learning projects. The speech corpus includes high-quality audio files with accurate transcriptions collected from native speakers. Researchers use it to train recognition systems that can process Indian languages with the highest accuracy in transcription and classification tasks.
- **Industry:** Multilingual Applications — **Title:** Supporting Cross-Language NLP and Translation — **Text:** The Hindi audio dataset plays a key role in multilingual speech applications. When combined with spoken English and other Indian languages, it enables better language processing, speech translation, and recognition technology. Its large collection of audio samples ensures adaptability for global NLP tasks and multilingual communication systems.
- **Industry:** Commercial & Industrial Use — **Title:** Deploying Hindi Dialogue Recognition at Scale — **Text:** Businesses rely on the Hindi dialogue dataset for commercial use in transcription services, smart assistants, and mobile applications. Since the database contains audio samples across varied conditions, it improves recognition systems’ performance, ensuring reliable speech recognition technology for everyday business operations and customer-facing products.

### Fact

**FAQs Heading:** FAQs

**List of Questions:**

- **Question:** How is the data collected? — **Answer:** The data was collected using standard telephone devices in indoor environments with low background noise. This ensures clean audio recordings suitable for speech corpora, language models, and speech processing tasks.
- **Question:** Can I request a sample of the Hindi Speech Recognition Dataset before purchasing or downloading it? — **Answer:** Yes, a sample of the dataset can be requested. Reviewing the audio recordings, transcriptions, and speaker metadata helps confirm that the dataset is suitable for your speech recognition or training data requirements.
- **Question:** Is it possible to request a custom dataset? — **Answer:** Yes, Unidata offers custom datasets for specific research or commercial needs. You can request additional Hindi speech samples, different dialects of Indian languages, or special recording conditions to train more accurate recognition models.
- **Question:** How are Unidata datasets licensed? — **Answer:** Unidata datasets follow a dual-licensing model. Free samples are provided for trial and testing, while the full Hindi speech dataset is available only after purchase.
- **Question:** Do Unidata datasets follow GDPR or other data privacy regulations? — **Answer:** Yes. Unidata datasets are curated in compliance with GDPR and relevant data protection regulations. All speech recordings were collected from lawful sources, ensuring ethical data collection and safe usage.
- **Question:** How are Unidata datasets stored? — **Answer:** Unidata securely stores all datasets on AWS cloud infrastructure. With ISO 27001 and ISO 27701 certifications, our system ensures the highest security, availability, and compliance with global privacy standards.
- **Question:** How long does it take to receive the dataset? — **Answer:** Once you submit a request, we will review the details and complete the required documents. After signing and payment, a dataset is usually delivered within 3–10 business days.
- **Question:** What makes real Hindi dialogues valuable for speech recognition training? — **Answer:** Real conversational Hindi captures natural communication styles, vocabulary usage, and variations in how people speak. This helps AI models perform more reliably in practical scenarios compared with training only on scripted speech.

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