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About This OTS Dataset
This Off-The-Shelf (OTS) dataset offers a comprehensive collection of audio recordings showcasing conversations between US customers within automobile call centers. It is meticulously curated to enhance speech recognition and conversational AI models tailored specifically to the unique dynamics of interactions within US customer call centers in the automobile industry.
Metadata Availability: Insights into Participant Details
Each participant is accompanied by detailed metadata, including:
- Age
- Gender
- Country & State
- Dialect
- Domain
- Topic
- Call Type
- Call Outcome
This rich metadata facilitates informed decision-making during AI and NLP model development.
Audio Recording Specifications
- Audio Duration: 50 hours
- Format: WAV (uncompromised audio integrity)
- Sample Rate: Flexible, adaptable to project requirements
- Recording Environments: Real-world US call center conditions
- Recording Equipment: Standard call center devices
These specs ensure optimal compatibility for a wide range of AI development applications in the automotive sector.
Insights into Audio Data
This dataset includes:
- 50 hours of realistic customer-to-customer conversations
- Wide range of automobile-related topics
- Speakers: Native English speakers from the United States
- Balanced coverage of American accents, dialects, and demographics
Dataset Transcription Details
Each audio file includes a manual verbatim transcription in JSON format, featuring:
- Speaker-wise dialogues
- Time-coded segmentation
- Non-speech labels (pauses, noise, etc.)
These enrichments enable faster and more accurate development of ASR and conversational AI systems.
License
This dataset is exclusively curated by Macgence and is available for commercial use, supporting AI innovations in the US automobile sector.
Updates and Customization
- Regularly updated with new, high-quality audio
- Customization options include:
- Adjustable sample rates
- Tailored transcriptions
- Scenario-specific dialogues
Related Keywords
keywords: automobile call center dataset, English speech dataset, US customer conversations, ASR training data, English transcription dataset, American English voice data, customer interaction dataset, speech recognition automobile, auto industry AI dataset, automotive voice recordings, call center audio dataset, conversational AI dataset, native US speakers audio, JSON transcribed audio, English dataset for NLP, car service voice data, customer service speech corpus, vehicle support call dataset, AI dataset for automotive, English dialogue dataset
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