Introduction
The Bengali Scripted Monologue Speech Dataset for the General Domain is a carefully curated resource designed to support the development of Bengali language speech recognition systems. This dataset focuses on general-purpose conversational topics and is ideal for a wide range of AI applications requiring natural, domain-agnostic Bengali speech data.
Speech Data
This dataset features over 6,000 high-quality scripted monologue recordings in Bengali. The prompts span diverse real-life topics commonly encountered in general conversations and are intended to help train robust and accurate speech-enabled technologies.
•Participant Diversity
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Speakers:
60 native Bengali speakers
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Regions:
Broad regional coverage ensures diverse accents and dialects
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Demographics:
Participants aged 18 to 70, with a 60:40 male-to-female ratio
•Recording Specifications
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Recording Type:
Scripted monologues and prompt-based recordings
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Audio Duration:
5 to 30 seconds per file
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Format:
WAV, mono channel, 16-bit, 8 kHz & 16 kHz sample rates
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Environment:
Clean, noise-free conditions to ensure clarity and usability
Topic Coverage
The dataset covers a wide variety of general conversation scenarios, including:
•Topic-Specific Discussions
•General Knowledge and Advice
Contextual Features
To enhance authenticity, the prompts include:
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Names:
Male and female names specific to different Bangladesh regions
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Addresses:
Commonly used address formats in daily Bengali speech
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Dates & Times:
References used in general scheduling and time expressions
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Organization Names:
Names of businesses, institutions, and other entities
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Numbers & Currencies:
Mentions of quantities, prices, and monetary values
Each prompt is designed to reflect everyday use cases, making it suitable for developing generalized NLP and ASR solutions.
Transcription
Every audio file in the dataset is accompanied by a verbatim text transcription, ensuring accurate training and evaluation of speech models.
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Content:
Exact match to the spoken audio
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Format:
Plain text (.TXT), named identically to the corresponding audio file
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Quality Control:
All transcripts are validated by native Bengali transcribers
Metadata
Rich metadata is included for detailed filtering and analysis:
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Speaker Metadata:
Unique speaker ID, age, gender, region, and dialect
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Audio Metadata:
Prompt transcript, recording setup, device specs, sample rate, bit depth, and format
Applications & Use Cases
This dataset can power a variety of Bengali language AI technologies, including:
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Speech Recognition Training:
ASR model development and fine-tuning
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Voice Synthesis:
Training data for TTS and voice cloning models
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Voice Assistants:
Building general-purpose Bengali voice assistants
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Entity Recognition:
Identifying names, numbers, and key terms
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Language Understanding:
Training models for tasks like sentiment analysis, topic classification, and semantic parsing
Ethical & Secure Data Collection
All data was collected using FutureBeeAI’s proprietary Yugo platform
•Data remained secure and was never shared externally during the process
•Participant consent and ethical guidelines were strictly followed
•No personally identifiable information (PII) is included in the dataset
License
This dataset is developed and owned by FutureBeeAI and is available for commercial use, offering high-value resources for enterprises and research organizations developing Bengali speech technologies.