About This OTS Dataset

This Off-The-Shelf (OTS) dataset offers a comprehensive collection of audio recordings showcasing conversations between Hindi-speaking customers within the banking sector. It is meticulously curated to enhance speech recognition and conversational AI models tailored specifically to the unique dynamics of interactions between Hindi-speaking customers and call center agents in the banking sector.

Metadata Availability: Insights into Participant Details

Each participant is accompanied by detailed metadata including age, gender, country, state, dialect, domain, topic, call type, and outcome. This rich metadata facilitates informed decision-making during model development.

Audio Recording Specifications

Audio Duration: 400 hours
Format Utilized: WAV, ensuring uncompromised audio integrity
Sample Rate Flexibility: Adjustable to meet project demands, ensuring versatility
Diverse Recording Environments: Captured within various real-world settings, providing a comprehensive and authentic portrayal of call center interactions
Standard Recording Equipment: Utilizing standard call center devices for meticulous capture of genuine conversations between Hindi-speaking customers and call center agents, facilitating an accurate reflection of communication dynamics.

These technical specifications ensure compatibility and optimal performance for a wide range of AI development applications within the banking sector.

Insights into Audio Data

The dataset comprises 400 hours of high-quality audio recordings covering a wide array of topics within the banking sector. Created through collaboration with a network of expert native Hindi speakers from India, it captures realistic interactions, ensuring a balanced representation of accents, dialects, and demographics.

Dataset Transcription Details

Manual verbatim transcriptions in JSON format accompany each audio file, capturing speaker-wise dialogues with time-coded segmentation and non-speech labels. These transcriptions expedite the development of banking-related call center conversational AI and automatic speech recognition (ASR) models tailored for Hindi-speaking customers.

License

Exclusively curated by Macgence, this banking call center audio dataset is available for commercial use, empowering AI developers in the Indian banking sector.

Updates and Customization

Consistent updates with fresh audio data captured in varied real-world scenarios guarantee ongoing relevance and precision. We offer customization options such as adjusting sample rates and providing bespoke transcriptions tailored to your specific criteria and needs.

Why Macgence Stands Out

At Macgence, we're more than just a data provider. We offer tailored solutions to meet your specific needs in AI development. Here's why we believe Macgence is the right partner for you:

Tailored Solutions: Your project is unique, and we understand that. We'll customize everything to align precisely with your objectives.

Versatile Data: Our dataset spans a broad spectrum of applications within the banking sector, encompassing speech recognition, natural language processing, and beyond.

Ongoing Support: We're committed to providing continuous assistance throughout your project lifecycle. Our dataset is regularly refreshed with new recordings, and our team remains readily available to offer guidance and support whenever needed.

Transparent Licensing: Utilize our dataset for commercial purposes with confidence. Our transparent and straightforward licensing terms ensure clarity and peace of mind for your organization.

Comprehensive Assistance: Besides data provisioning, we offer a suite of supplementary services to augment your project. Whether it entails sourcing additional data, conducting meticulous labeling, or tailoring datasets to align with your project specifications, we're equipped to provide comprehensive support.

Choose Macgence for your AI development needs and unlock the full potential of our tailored solutions and expertise.