4 datasets found

  1. Common Voice Czech

    • kaggle.com
    Updated Jan 12, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Rahul Bhalley (2023). Common Voice Czech [Dataset]. https://www.kaggle.com/datasets/rahulbhalley/common-voice-czech
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 12, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Rahul Bhalley
    Description

    Dataset

    This dataset was created by Rahul Bhalley

    Contents

  2. h

    common_voice_22_0

    • huggingface.co
    Updated Jun 28, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Fabio Sicoli (2025). common_voice_22_0 [Dataset]. https://huggingface.co/datasets/fsicoli/common_voice_22_0
    Explore at:
    Dataset updated
    Jun 28, 2025
    Authors
    Fabio Sicoli
    License

    https://choosealicense.com/licenses/cc0-1.0/https://choosealicense.com/licenses/cc0-1.0/

    Description

    Dataset Card for Common Voice Corpus 22.0

    This dataset is an unofficial version of the Mozilla Common Voice Corpus 22. It was downloaded and converted from the project's website https://commonvoice.mozilla.org/.

      Languages

    Abkhaz, Albanian, Amharic, Arabic, Armenian, Assamese, Asturian, Azerbaijani, Basaa, Bashkir, Basque, Belarusian, Bengali, Breton, Bulgarian, Cantonese, Catalan, Central Kurdish, Chinese (China), Chinese (Hong Kong), Chinese (Taiwan), Chuvash, Czech… See the full description on the dataset page: https://huggingface.co/datasets/fsicoli/common_voice_22_0.

  3. F

    Czech Scripted Monologue Speech Data for Healthcare

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    FutureBee AI (2022). Czech Scripted Monologue Speech Data for Healthcare [Dataset]. https://www.futurebeeai.com/dataset/monologue-speech-dataset/healthcare-scripted-speech-monologues-czech-czech-republic
    Explore at:
    wavAvailable download formats
    Dataset updated
    Aug 1, 2022
    Dataset provided by
    FutureBeeAI
    Authors
    FutureBee AI
    License

    https://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement

    Dataset funded by
    FutureBeeAI
    Description

    Introduction

    Introducing the Czech Scripted Monologue Speech Dataset for the Healthcare Domain, a voice dataset built to accelerate the development and deployment of Czech language automatic speech recognition (ASR) systems, with a sharp focus on real-world healthcare interactions.

    Speech Data

    This dataset includes over 6,000 high-quality scripted audio prompts recorded in Czech, representing typical voice interactions found in the healthcare industry. The data is tailored for use in voice technology systems that power virtual assistants, patient-facing AI tools, and intelligent customer service platforms.

    •Participant Diversity
    •
    Speakers: 60 native Czech speakers.
    •
    Regional Balance: Participants are sourced from multiple regions across Czech Republic, reflecting diverse dialects and linguistic traits.
    •
    Demographics: Includes a mix of male and female participants (60:40 ratio), aged between 18 and 70 years.
    •Recording Specifications
    •
    Nature of Recordings: Scripted monologues based on healthcare-related use cases.
    •
    Duration: Each clip ranges between 5 to 30 seconds, offering short, context-rich speech samples.
    •
    Audio Format: WAV files recorded in mono, with 16-bit depth and sample rates of 8 kHz and 16 kHz.
    •
    Environment: Clean and echo-free spaces ensure clear and noise-free audio capture.

    Topic Coverage

    The prompts span a broad range of healthcare-specific interactions, such as:

    •Patient check-in and follow-up communication
    •Appointment booking and cancellation dialogues
    •Insurance and regulatory support queries
    •Medication, test results, and consultation discussions
    •General health tips and wellness advice
    •Emergency and urgent care communication
    •Technical support for patient portals and apps
    •Domain-specific scripted statements and FAQs

    Contextual Depth

    To maximize authenticity, the prompts integrate linguistic elements and healthcare-specific terms such as:

    •
    Names: Gender- and region-appropriate Czech Republic names
    •
    Addresses: Varied local address formats spoken naturally
    •
    Dates & Times: References to appointment dates, times, follow-ups, and schedules
    •
    Medical Terminology: Common medical procedures, symptoms, and treatment references
    •
    Numbers & Measurements: Health data like dosages, vitals, and test result values
    •
    Healthcare Institutions: Names of clinics, hospitals, and diagnostic centers

    These elements make the dataset exceptionally suited for training AI systems to understand and respond to natural healthcare-related speech patterns.

    Transcription

    Every audio recording is accompanied by a verbatim, manually verified transcription.

    •
    Content: The transcription mirrors the exact scripted prompt recorded by the speaker.
    •
    Format: Files are delivered in plain text (.TXT) format with consistent naming conventions for seamless integration.
    •
    <b

  4. F

    Czech Scripted Monologue Speech Data for Telecom

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    FutureBee AI (2022). Czech Scripted Monologue Speech Data for Telecom [Dataset]. https://www.futurebeeai.com/dataset/monologue-speech-dataset/telecom-scripted-speech-monologues-czech-czech-republic
    Explore at:
    wavAvailable download formats
    Dataset updated
    Aug 1, 2022
    Dataset provided by
    FutureBeeAI
    Authors
    FutureBee AI
    License

    https://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement

    Dataset funded by
    FutureBeeAI
    Description

    Introduction

    Presenting the Czech Scripted Monologue Speech Dataset for the Telecom Domain, a purpose-built dataset created to accelerate the development of Czech speech recognition and voice AI models specifically tailored for the telecommunications industry.

    Speech Data

    This dataset includes over 6,000 high-quality scripted prompt recordings in Czech, representing real-world telecom customer service scenarios. It’s designed to support the training of speech-based AI systems used in call centers, virtual agents, and voice-powered support tools.

    •Participant Diversity
    •
    Speakers: 60 native Czech speakers
    •
    Geographic Distribution: Carefully selected from multiple regions across Czech Republic to capture a wide spectrum of dialects and speaking styles
    •
    Demographics: Balanced representation of males and females (60:40 ratio), aged between 18 to 70 years
    •Recording Specifications
    •
    Type: Scripted monologue prompts focused on telecom industry use cases
    •
    Duration: Each audio clip ranges from 5 to 30 seconds
    •
    Format: WAV files in mono, 16-bit depth, with sample rates of 8 kHz and 16 kHz
    •
    Environment: Clean, echo-free, and noise-controlled settings to ensure optimal audio clarity

    Topic Coverage

    The dataset reflects a wide variety of common telecom customer interactions, including:

    •Customer onboarding and service inquiries
    •Billing and payment questions
    •Data plans and product information
    •Technical support requests
    •Network coverage discussions
    •Regulatory compliance and policy information
    •Upgrades, renewals, and service plan changes
    •Domain-specific scripted interactions tailored to real-world telecom use cases

    Contextual Depth

    To maximize contextual richness, prompts include:

    •
    Localized Names: Common Czech Republic names in various formats
    •
    Addresses: Region-specific address structures for realism
    •
    Dates & Times: Spoken date and time references in typical telecom scenarios (e.g., billing cycles, service activation times)
    •
    Telecom Terminology: Keywords related to mobile data, network, SIM, devices, plans, etc.
    •
    Numbers & Rates: Usage statistics, pricing info, recharge values, and billing figures
    •
    Service Providers: References to telecom companies and third-party service entities

    Transcription

    Each audio file is paired with an accurate, verbatim transcription for precise model training:

    •
    Content: Transcriptions are direct representations of each recorded prompt
    •
    Format: Plain text (.TXT), with filenames matching their corresponding audio files
    •
    Verification: Every transcription is manually verified by native Czech linguists to ensure consistency and accuracy

    Metadata

    Detailed metadata is included to enhance dataset usability

  5. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Rahul Bhalley (2023). Common Voice Czech [Dataset]. https://www.kaggle.com/datasets/rahulbhalley/common-voice-czech
Organization logo

Common Voice Czech

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Jan 12, 2023
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Rahul Bhalley
Description

Dataset

This dataset was created by Rahul Bhalley

Contents

Search
Clear search
Close search
Google apps
Main menu