Kannada Scripted Monologue Speech Dataset for Retail & E-commerce Domain

Scripted monologue speech dataset in Kannada for the Retail & E-commerce sector. Includes clean audio recordings, accurate transcriptions, and metadata for use in ASR and conversational AI development.

About this Off-the-shelf Speech Dataset

Introduction

Welcome to the Kannada Scripted Monologue Speech Dataset for the Retail & E-commerce domain. This dataset is built to accelerate the development of Kannada 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 Kannada, 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

•

Speakers: 60 native Kannada speakers from across Karnataka

•

Geographic Coverage: Multiple Karnataka regions to ensure dialect and accent diversity

•

Demographics: Participants aged 18 to 70, with a 60:40 male-to-female distribution

•Recording Details

•

Nature of Recording: Scripted monologue-style speech prompts

•

Duration: Each recording spans 5 to 30 seconds

•

Audio Format: WAV format, mono channel, 16-bit depth, and 8kHz / 16kHz sample rates

•

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:

•

Region-Specific Names: Common Karnataka male and female names in diverse formats

•

Addresses: Localized address variations spoken naturally

•

Dates & Times: Realistic phrasing in delivery, promotions, and return policies

•

Product References: Real-world product names, brands, and categories

•

Numerical Data: Spoken numbers and prices used in transactions and offers

•

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.

•

Content: Exact scripted prompts as spoken by the participant

•

Format: Provided in plain text (.TXT) format with filenames matching the associated audio

•

Quality Assurance: All transcripts are verified for accuracy by native Kannada transcribers

Metadata

Detailed metadata is included to support filtering, analysis, and model evaluation:

•

Participant Metadata: Unique speaker ID, age, gender, region (country, state), and dialect

•

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:

•

Speech Recognition Training: Fine-tune Kannada ASR models

•

Voice Synthesis & TTS: Generate synthetic voices based on real Kannada samples

•

Retail Voice Assistants: Build voice-first shopping and support experiences

•

Chatbot Development: Train NLU engines for product and service inquiries

•

Named Entity Recognition (NER): Extract names, dates, prices, and order details

•

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 Kannada Retail & E-commerce Scripted Monologue Speech Dataset is created by FutureBeeAI and is available for commercial use.

Use Cases

Use of scripted speech monologues datasets for Automatic Speech Recognition

ASR

Conversational AI

Chatbot

Use of scripted speech monologues datasets for TTS

TTS

Speech Analytics

Mobile Speech

Dataset Sample(s)

TRANSCRIPTION

SPEAKER	DURATION	TRANSCRIPT
Male(23)	00:00:06	ಚಿಲ್ಲರೆ ವ್ಯಾಪಾರವು ವಿವಿಧ ಸರಕುಗಳನ್ನು ಅಂತಿಮ ಗ್ರಾಹಕರಿಗೆ ಸಣ್ಣ ಪ್ರಮಾಣದಲ್ಲಿ ಮಾರಾಟ ಮಾಡುವುದು
Female(29)	00:00:09	ಚಿಲ್ಲರೆ ವ್ಯಾಪಾರಿಯು ಗ್ರಾಹಕರಿಗೆ ಸರಕುಗಳ ವಿತರಣೆಯ ಸರಪಳಿಯ ಕೊನೆಯ ಕೊಂಡಿಯಾಗಿದೆ
Male(26)	00:00:07	ಚಿಲ್ಲರೆ ವ್ಯಾಪಾರಿಯು ಗ್ರಾಹಕರಿಗೆ ಸಾಲ ಮತ್ತು ಇತರ ಸೌಲಭ್ಯಗಳನ್ನು ಒದಗಿಸುತ್ತಾನೆ.
Female(22)	00:00:12	ಈ ಕೆಲಸವನ್ನು ಚಿಲ್ಲರೆ ವ್ಯಾಪಾರಿಗಳು ನಿರ್ವಹಿಸುವುದರಿಂದ ಸಗಟು ವ್ಯಾಪಾರಿಗಳು ಮತ್ತು ತಯಾರಕರು ಗ್ರಾಹಕರೊಂದಿಗೆ ಯಾವುದೇ ಸಂಪರ್ಕವನ್ನು ಇಟ್ಟುಕೊಳ್ಳಬೇಕಾಗಿಲ್ಲ
Female(22)	00:00:07	ಚಿಲ್ಲರೆ ವ್ಯಾಪಾರಿಗಳು ತಮ್ಮ ಗ್ರಾಹಕರಿಗೆ ಗರಿಷ್ಠ ತೃಪ್ತಿಯನ್ನು ಒದಗಿಸುವ ಗುರಿಯನ್ನು ಹೊಂದಿದ್ದಾರೆ