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Nepali Call Center Audio Dataset — Dual Channel

Source and Attribution

This repository contains data obtained from the original dataset published by InfoBay AI Ltd.

Original Dataset

Name: Nepali_Call_Center_Audio_Dataset_Dual_Channel

Original repository:

https://huggingface.co/datasets/InfoBayAI/Nepali_Call_Center_Audio_Dataset_Dual_Channel

Original creator:

InfoBay AI Ltd.

The original dataset is listed as CC BY 4.0 on its Hugging Face repository.

This repository does not claim ownership of the original audio recordings.

Users should consult the original repository for the authoritative license and dataset terms.


Dataset Summary

This dataset contains Nepali call-center audio originating from the InfoBay AI dataset.

The source dataset is described as a dual-channel call-center speech dataset in which customer and agent audio are represented separately.

The dataset can potentially support research and development in:

  • Nepali Automatic Speech Recognition (ASR)
  • conversational speech recognition
  • call-center speech processing
  • speaker-role analysis
  • customer-agent interaction modelling
  • speech segmentation
  • speech analytics
  • conversational AI

Language

The primary language is:

  • Nepali (ne)

Domain

The audio represents:

  • Call-center conversations
  • Customer-agent interactions
  • Telephone speech

Audio

According to the original dataset documentation, the source dataset uses an 8 kHz sampling rate and contains dual-channel call-center audio.

The original source documentation should be consulted for the authoritative description of the audio files and processing pipeline.


Dual-Channel Structure

The original dataset is designed around two conversational roles:

  1. Customer
  2. Agent

The separation of channels can be useful for research involving:

  • speaker-role modelling
  • conversational turn analysis
  • diarization
  • role-aware ASR
  • customer-support analytics

Original Processing

The original dataset provider describes processing that includes operations such as:

  • duplicate asset removal
  • low-activity voice removal
  • PII detection and muting
  • background-noise removal

These processing descriptions originate from the original dataset provider and have not necessarily been independently revalidated by this repository.


Intended Uses

Potential uses include:

Automatic Speech Recognition

The dataset may be useful for developing and evaluating Nepali ASR systems, particularly for telephone and call-center speech.

Conversational AI

The dual-channel structure may support research involving customer-agent conversations.

Speech Analytics

Potential applications include:

  • transcription
  • speech segmentation
  • speaker-role classification
  • conversational analysis
  • customer-support analytics

Privacy Considerations

The original dataset documentation describes PII detection and muting as part of its processing pipeline.

However, automated PII detection should not be considered a guarantee that all potentially identifying information has been removed.

Researchers should conduct their own privacy assessment before using the data, particularly when:

  • publishing transcripts
  • releasing derived datasets
  • performing speaker identification
  • combining this data with other datasets
  • training models that may memorize sensitive information

Ethical Considerations

Users should consider the ethical implications of working with real-world conversational speech.

Particular care should be taken when conducting:

  • speaker identification
  • speaker profiling
  • sensitive attribute inference
  • surveillance
  • individual-level decision making

Researchers should follow applicable institutional ethics requirements and relevant laws.


License

The original Hugging Face repository lists the dataset under:

CC BY 4.0

Original dataset provider:

InfoBay AI Ltd.

Original dataset:

InfoBayAI/Nepali_Call_Center_Audio_Dataset_Dual_Channel

Users are responsible for complying with the original license and applicable dataset access conditions.


Citation

If you use this dataset, please acknowledge the original dataset provider:

InfoBay AI Ltd. Nepali Call Center Audio Dataset — Dual Channel. Hugging Face Datasets.

Original repository:

https://huggingface.co/datasets/InfoBayAI/Nepali_Call_Center_Audio_Dataset_Dual_Channel

If this repository is modified or further processed, users should also cite or acknowledge the resulting repository and describe the modifications.


Provenance

Field Value
Original provider InfoBay AI Ltd.
Original dataset Nepali Call Center Audio Dataset — Dual Channel
Original repository InfoBayAI/Nepali_Call_Center_Audio_Dataset_Dual_Channel
Language Nepali
Domain Call-center speech
Audio type Dual-channel conversational audio
Original sampling rate 8 kHz
Original license CC BY 4.0
Repository status Source redistribution / derivative repository

Modifications

At the time of creation, this repository primarily preserves the source dataset and adds repository-level documentation and attribution.

Any future preprocessing, transcription, segmentation, resampling, filtering, annotation, or other modification should be documented here.


Disclaimer

This repository is not the original dataset repository.

The original dataset provider is responsible for the provenance and original processing claims associated with the source dataset.

The maintainer of this repository does not claim ownership of the original recordings.

Users are responsible for ensuring that their use of the dataset complies with the applicable license, access conditions, laws, and research ethics requirements.

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