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280 Hour Norwegian Speech Dataset - Scripted Monologue for ASR & TTS
Norwegian scripted monologue dataset
Norwegian speech dataset
Norwegian speech synthesis data
Norwegian NLP corpus
Norwegian speech data
Norwegian audio dataset
This dataset contains 280 hours of Norwegian monologues based on given scripts. Transcribed with text content. Our dataset was collected from extensive and diversify speakers(157 people in total, from Norway), geographicly speaking, enhancing model performance in real and complex tasks. Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Format
16kHz, 16bit, uncompressed wav, mono channel
Recording environment
quiet indoor environment, without echo
Recording content (read speech)
News and general texts
Speaker
157 native speakers in total, 27% male and 73% female
Device
Android mobile phone, iPhone
Language
Norwegian
Transcription content
text
Accuracy rate
Word Accuracy Rate (WAR) 95%
Application scenarios
speech recognition, voiceprint recognition
Sample
Audio
Rosenborg hadde en blytung serieåpning og vant ikke en kamp før de slo Sarpsborg på Lerkendal i starten av mai.
Audio
Så spilte de uavgjort mot Lillestrøm og tapte for Haugesund, før de slo Mjøndalen og Brann.
Audio
Det var bra for meg og bra for laget å komme i gang, sier Adegbenro til NTB etter kampen.
Audio
En kombinasjon av lite nedbør og høye temperaturer rammer disse landene hardt mens sommeren nærmer seg på den sørlige halvkule.
Audio
Regionen har opplevd normale nedbørsmengder i bare én av de siste fem sesongene med avlinger, ifølge FNs matvareprogram.
What languages and scenarios are covered by Nexdata’s speech recognition datasets?
Nexdata offers speech recognition datasets covering a broad range of languages, dialects, and accents, backed by extensive global language resources. Our datasets include diverse speakers, acoustic environments, and real-world speech scenarios, supporting multilingual ASR, voice assistants, conversational AI, speech-to-text, and other speech-enabled applications.
Can Nexdata customize speech recognition datasets for specific languages or requirements?
Yes. If our off-the-shelf datasets do not fully meet your requirements, Nexdata provides flexible custom data collection, transcription, and annotation services. We can customize datasets based on target languages or dialects, speaker profiles, recording environments, speech scenarios, data volume, and annotation specifications to meet specific ASR development needs.
How does Nexdata ensure the quality and scalability of speech recognition datasets?
Nexdata applies multi-stage quality control throughout speech data collection, transcription, annotation, and validation. Combined with our extensive language resources and scalable collection capabilities, we can support both large-scale multilingual projects and specialized datasets for specific languages, dialects, accents, and speech scenarios.