English Deep South Call-Center dataset
Project Overview:
Objective
The primary goal of our project, “Enhancing Customer Service through Voice Analytics,” is to develop a comprehensive dataset focused on the English Deep South dialect. This dataset will be instrumental in training advanced speech recognition models to better understand and process customer interactions in call centers. This enhanced understanding will lead to improved customer service experiences and more efficient call center operations.
Scope
Our project encompasses the meticulous collection and annotation of call center voice recordings. These recordings are derived from various sources, ensuring a rich and diverse dataset that accurately represents the unique linguistic characteristics of the English Deep South dialect.
Sources
- Call Center Recordings: Direct collection of real-world call center interactions.
- Scripted Conversations: Working with voice actors to simulate call center scenarios.
- Public Domain Resources: Incorporating publicly available recordings to broaden our dataset.
Data Collection Metrics
- Total Voice Recordings Collected: 25,000
- Call Center Recordings: 15,000
- Scripted Conversations with Voice Actors: 7,000
- Public Domain Recordings: 3,000
Annotation Process
Stages
- Dialect Identification: Annotating each recording with specific linguistic features of the English Deep South dialect.
- Contextual Tagging: Classifying the recordings based on the context of the conversation – customer queries, responses, etc.
- Metadata Documentation: Logging detailed metadata including call duration, speaker demographics, and linguistic nuances.
Annotation Metrics
- Recordings with Dialect Labels: 25,000
- Contextually Tagged Recordings: 25,000
- Metadata Entries: 25,000
Quality Assurance
Stages
Annotation Review: Engaging linguistic experts to verify the accuracy of dialect annotations.
Data Cleansing: Rigorous screening to exclude any recordings that do not meet our quality standards.
Data Security and Privacy Compliance: Ensuring the confidentiality and integrity of the recordings, in line with regulatory requirements.
QA Metrics
- Annotation Review Cases: 2,500 (10% of total)
- Data Cleansing: Systematic removal of non-compliant or poor-quality recordings.
Conclusion
The “English Deep South Call-Center Dataset” is a pivotal resource for revolutionizing customer service in call centers. By providing a richly annotated and diverse dataset, it enables the creation of sophisticated speech recognition models tailored to understand the nuances of the English Deep South dialect. This initiative not only enhances customer interaction quality but also paves the way for more culturally inclusive technology solutions in the field of voice analytics.
Quality Data Creation
Guaranteed TAT
ISO 9001:2015, ISO/IEC 27001:2013 Certified
HIPAA Compliance
GDPR Compliance
Compliance and Security
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