off-the-shelf datasets, dataset provider logo
Customer service
Contact

en

Please fill in your name

Mobile phone format error

Please enter the telephone

Please enter your company name

Please enter your company email

Please enter the data requirement

Successful submission! Thank you for your support.

Format error, Please fill in again

Confirm

The data requirement cannot be less than 5 words and cannot be pure numbers

m.nexdata.datatang.com

Home > All Category Datasets > Speech Recognition Datasets > Hindi-English Bilingual Speech Dataset – 302 Speakers (Smartphone, Monologue)

Hindi-English Bilingual Speech Dataset – 302 Speakers (Smartphone, Monologue)

Hindi English bilingual speech dataset
Hindi English speech dataset
Hindi English ASR dataset
Hindi English TTS dataset
Hindi English voice dataset
Hindi English audio dataset
Bilingual speech dataset Hindi English

This dataset contains spontaneous bilingual speech in Hindi and English, collected from dialogues based on given topics, covering generic domain. Our dataset was collected from extensive and diversify speakers(302 people in total, ages 18 to 46), 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.

Paid Datasets
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
SpecificationsSpecifications
Format
16k Hz, 16 bit, wav, mono channel
Content category
Individuals naturally speaking, with no specific content limitations. Each speaker records around 20 audios in each language (40 recordings per person, some speakers may record fewer than 40)
Recording condition
Quiet indoor environment, without echoes, background voices, obvious noises
Recording device
Android phone, iPhone
Speaker
Total 302 contributors,45% male and 55% female. 291contributors aged 18-37, 10 contributors aged 38-45, and 1 contributor aged 46-65
Country
India(IND)
Language
Hindi,English
Sample Sample
  • Audio

  • Audio

  • Audio

  • Audio

Recommended DatasetsRecommended Dataset
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.

burmese speech dataset burmese asr dataset burmese speech recognition dataset myanmar speech dataset myanmar audio dataset
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.

russian speech dataset russian ASR dataset russian speech recognition dataset voice AI training data
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.

korean conversational speech dataset korean speech dataset korean ASR dataset korean speech corpus korean audio dataset korean speech recognition dataset
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.

Hindi speech dataset Hindi ASR dataset Hindi TTS dataset Hindi audio dataset Hindi voice dataset
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.

indonesian speech dataset indonesian ASR dataset indonesian conversational speech dataset indonesian speech corpus conversational AI dataset speech recognition training data
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.

english ASR dataset british english speech dataset uk english speech dataset conversational speech dataset native english speech dataset
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.

Korean telephony speech dataset Korean telephone audio telephone conversation Korean call center voice dataset Korean Korean spoken dialogue corpus multilingual telephony dataset Korean voice dataset speech-to-text Korean phone call spontaneous Korean speech data
128 Hours Australian English Children's Speech Dataset for ASR & Voice AI

This dataset contains 128 hours of Australian English children's conversational and monologue speech collected from authentic real-world scenarios. It includes transcriptions, speaker IDs, age, gender, accent information, and additional metadata. Our dataset was collected from speakers with diverse geographical and background profiles, thereby enhancing the model's performance in real-world, complex tasks. The dataset has undergone quality validation by multiple 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.

australian english speech dataset child speech dataset kids speech dataset australian english children's speech dataset australian english asr dataset
Tell Us Your Special Needs

Current Project Maturity

Early exploration (no concrete specs yet)
Defined goals, need professional guidance
Active development or optimization phase
Data & labeling experts with clear specifications

By submitting, I agree to the Privacy Protection

Submit

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.

Subscribe to our newsletter

Be the first to receive Nexdata latest product releases, data solutions and enterprise news.

Off-the-Shelf Datasets
All Category Datasets
Embodied AI Datasets
LLM Datasets
Computer Vision Datasets
Speech Recognition Datasets
Speech Synthesis Datasets
OCR Datasets
Pronunciation Dictionary
NLU Datasets
Data Service
3D Point Cloud Data
Street View Data
OCR Data
Behavior Recognition Data
Identity Recognition Data
Speech Recognition Data
Speech Synthesis Data
Multimodal Data
Industries
Embodied AI
Generative AI
Autonomous Vehicles
AR/VR
Conversational AI
Smart Home
Retail
Intelligent Healthcare
Company
About Us
News
Partners
Quality & Security
Event
Links
OPENMPD
DataPlus
Datarade
Platform
Platform
Competition
Competition
Resources
Sponsored Datasets
Nexdata.ai logo Sharpen Your AI with Better Data

+1(626)594-5598

[email protected]

nexdata_ai facebooknexdata_ai twitternexdata_ai linkedinnexdata_ai youtube
Copyright © 2023 NEXDATA TECHNOLOGY INC
Sitemap  Terms and Conditions

We use cookies to enhance your browsing experience, serve personalized ads or content, and analyze our traffic. By clicking "Accept All", you consent to our use of cookies.

f5487da3-70b2-4621-9a52-6922beeebace

10abf024-7bce-4bc5-8136-88d7334e5737