Introduction
Welcome to the Thai Scripted Monologue Speech Dataset for the Retail & E-commerce domain. This dataset is built to accelerate the development of Thai language speech technologies especially for use in retail-focused automatic speech recognition (ASR), natural language processing (NLP), voicebots, and conversational AI applications.
Speech Data
This training dataset includes 6,000+ high-quality scripted audio recordings in Thai, created to reflect real-world scenarios in the Retail & E-commerce sector. These prompts are tailored to improve the accuracy and robustness of customer-facing speech technologies.
•Participant Diversity
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Speakers:
60 native Thai speakers from across Thailand
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Geographic Coverage:
Multiple Thailand regions to ensure dialect and accent diversity
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Demographics:
Participants aged 18 to 70, with a 60:40 male-to-female distribution
•Recording Details
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Nature of Recording:
Scripted monologue-style speech prompts
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Duration:
Each recording spans 5 to 30 seconds
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Audio Format:
WAV format, mono channel, 16-bit depth, and 8kHz / 16kHz sample rates
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Environment:
Recorded in quiet conditions, free from background noise and echo
Topic Diversity
This dataset includes a comprehensive set of retail-specific topics to ensure wide linguistic coverage for AI training:
•Customer Service Interactions
•Order Placement and Payment Processes
•Product and Service Inquiries
•Technical Support Queries
•General Information and Guidance
•Promotional and Sales Announcements
•Domain-Specific Service Statements
Contextual Enrichment
To increase training utility, prompts include contextual data such as:
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Region-Specific Names:
Common Thailand male and female names in diverse formats
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Addresses:
Localized address variations spoken naturally
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Dates & Times:
Realistic phrasing in delivery, promotions, and return policies
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Product References:
Real-world product names, brands, and categories
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Numerical Data:
Spoken numbers and prices used in transactions and offers
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Order IDs & Tracking Numbers:
Common references in customer service calls
These additions help your models learn to recognize structured and unstructured retail-related speech.
Transcription
Every audio file is paired with a verbatim transcription, ensuring consistency and alignment for model training.
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Content:
Exact scripted prompts as spoken by the participant
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Format:
Provided in plain text (.TXT) format with filenames matching the associated audio
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Quality Assurance:
All transcripts are verified for accuracy by native Thai transcribers
Metadata
Detailed metadata is included to support filtering, analysis, and model evaluation:
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Participant Metadata:
Unique speaker ID, age, gender, region (country, state), and dialect
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Recording Metadata:
Transcript, recording environment, device used, bit depth, sample rate, and file format
Usage & Applications
This dataset supports a wide range of use cases within AI and speech technology development:
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Speech Recognition Training:
Fine-tune Thai ASR models
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Voice Synthesis & TTS:
Generate synthetic voices based on real Thai samples
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Retail Voice Assistants:
Build voice-first shopping and support experiences
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Chatbot Development:
Train NLU engines for product and service inquiries
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Named Entity Recognition (NER):
Extract names, dates, prices, and order details
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Language Understanding:
Enhance sentiment analysis and topic modeling for retail interactions
Secure & Ethical Collection
All data was collected through FutureBeeAI’s proprietary and secure Yugo platform.
•Data never left the secure environment
•Ethical collection standards followed with full participant consent
•No personally identifiable information (PII) is included
•Fully compliant and safe for commercial and academic use
License
This Thai Retail & E-commerce Scripted Monologue Speech Dataset is created by FutureBeeAI and is available for commercial use.