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Norwegian General Conversation Speech Dataset for ASR
- futurebeeai.com
wavUpdated Aug 1, 2022
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EmailClick to copy linkLink copiedCiteFutureBee AI (2022). Norwegian General Conversation Speech Dataset for ASR [Dataset]. https://www.futurebeeai.com/dataset/speech-dataset/general-conversation-norwegian-norwaywavAvailable download formatsDataset updatedAug 1, 2022Dataset provided byFutureBeeAIAuthorsFutureBee AILicensehttps://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement
Dataset funded byFutureBeeAIDescriptionIntroduction
Welcome to the Norwegian General Conversation Speech Dataset — a rich, linguistically diverse corpus purpose-built to accelerate the development of Norwegian speech technologies. This dataset is designed to train and fine-tune ASR systems, spoken language understanding models, and generative voice AI tailored to real-world Norwegian communication.
Curated by FutureBeeAI, this 30 hours dataset offers unscripted, spontaneous two-speaker conversations across a wide array of real-life topics. It enables researchers, AI developers, and voice-first product teams to build robust, production-grade Norwegian speech models that understand and respond to authentic Norwegian accents and dialects.
Speech Data
The dataset comprises 30 hours of high-quality audio, featuring natural, free-flowing dialogue between native speakers of Norwegian. These sessions range from informal daily talks to deeper, topic-specific discussions, ensuring variability and context richness for diverse use cases.
•Participant Diversity:•Speakers: 60 verified native Norwegian speakers from FutureBeeAI’s contributor community.•Regions: Representing various provinces of Norway to ensure dialectal diversity and demographic balance.•Demographics: A balanced gender ratio (60% male, 40% female) with participant ages ranging from 18 to 70 years.•Recording Details:•Conversation Style: Unscripted, spontaneous peer-to-peer dialogues.•Duration: Each conversation ranges from 15 to 60 minutes.•Audio Format: Stereo WAV files, 16-bit depth, recorded at 16kHz sample rate.•Environment: Quiet, echo-free settings with no background noise.Topic Diversity
The dataset spans a wide variety of everyday and domain-relevant themes. This topic diversity ensures the resulting models are adaptable to broad speech contexts.
•Sample Topics Include:•Family & Relationships•Food & Recipes•Education & Career•Healthcare Discussions•Social Issues•Technology & Gadgets•Travel & Local Culture•Shopping & Marketplace Experiences, and many more.Transcription
Each audio file is paired with a human-verified, verbatim transcription available in JSON format.
•Transcription Highlights:•Speaker-segmented dialogues•Time-coded utterances•Non-speech elements (pauses, laughter, etc.)•High transcription accuracy, achieved through double QA pass, average WER < 5%These transcriptions are production-ready, enabling seamless integration into ASR model pipelines or conversational AI workflows.
Metadata
The dataset comes with granular metadata for both speakers and recordings:
•Speaker Metadata: Age, gender, accent, dialect, state/province, and participant ID.•Recording Metadata: Topic, duration, audio format, device type, and sample rate.Such metadata helps developers fine-tune model training and supports use-case-specific filtering or demographic analysis.
Usage and Applications
This dataset is a versatile resource for multiple Norwegian speech and language AI applications:
•ASR Development: Train accurate speech-to-text systems for Norwegian.•Voice Assistants: Build smart assistants capable of understanding natural Norwegian conversations. 
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Norwegian General Conversation Speech Corpus
https://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement
Introduction
Welcome to the Norwegian General Conversation Speech Dataset — a rich, linguistically diverse corpus purpose-built to accelerate the development of Norwegian speech technologies. This dataset is designed to train and fine-tune ASR systems, spoken language understanding models, and generative voice AI tailored to real-world Norwegian communication.
Curated by FutureBeeAI, this 30 hours dataset offers unscripted, spontaneous two-speaker conversations across a wide array of real-life topics. It enables researchers, AI developers, and voice-first product teams to build robust, production-grade Norwegian speech models that understand and respond to authentic Norwegian accents and dialects.
Speech Data
The dataset comprises 30 hours of high-quality audio, featuring natural, free-flowing dialogue between native speakers of Norwegian. These sessions range from informal daily talks to deeper, topic-specific discussions, ensuring variability and context richness for diverse use cases.
Topic Diversity
The dataset spans a wide variety of everyday and domain-relevant themes. This topic diversity ensures the resulting models are adaptable to broad speech contexts.
Transcription
Each audio file is paired with a human-verified, verbatim transcription available in JSON format.
These transcriptions are production-ready, enabling seamless integration into ASR model pipelines or conversational AI workflows.
Metadata
The dataset comes with granular metadata for both speakers and recordings:
Such metadata helps developers fine-tune model training and supports use-case-specific filtering or demographic analysis.
Usage and Applications
This dataset is a versatile resource for multiple Norwegian speech and language AI applications: