--- title: "Slovenian Speech Recognition Dataset" description: "Slovenian speech dataset contains over 10 hours of telephone-recorded dialogues from 20+ native speakers, delivered in MP3 and WAV formats with low background noise and…" url: "https://unidata.pro/datasets/slovenian-speech-recognition/" date_modified: "2025-12-10T16:50:58+03:00" language: "en-US" --- Slovenian speech dataset contains over 10 hours of telephone-recorded dialogues from 20+ native speakers, delivered in MP3 and WAV formats with low background noise and minute-long segments. The dataset includes structured annotations (ID, language, format, duration), making it well-suited for Slovenian speech recognition, spoken language processing, and training language models built on high-quality continuous and spontaneous speech data. [View as Markdown](https://unidata.pro/datasets/slovenian-speech-recognition.md) ## Структура датасета ### Секция с числами **Numbers list:** - **Number:** 10+ — **Text:** Hours - **Number:** 20+ — **Text:** Speakers ### Секция тултипов **Tooltip items:** - **Name:** NLP - **Name:** LLM - **Name:** Machine Learning - **Name:** Audio Processing - **Name:** ASR - **Name:** Voice Recognition ### Dataset Info **Таблица с данными:** | Characteristic | Data | | --- | --- | | Description | Audio of telephone dialogues in Slovenian for training NLP models in real-world conversational scenarios | | Data types | Audio | | Tasks | Speech recognition, NLP | | Country | Slovenia (SVN) | | Hours of telephone dialogue | 10+ | | Number of speakers | 20+ | | Labeling | Annotation (ID, Language, Format, Minutes) | | Recording device | Telephone | **Слайдер с медиа:** - **Видео в сладйер:** - **Видео в сладйер:** **Ссылка на сэмпл:** [Download sample](https://drive.google.com/drive/folders/1ljI0wfTdHL-ybqXrkZIS3gHgQxg8inhY) ### Technical characteristics **Таблица с данными:** | Characteristic | Data | | --- | --- | | Audio Format | MP3, WAV | | Recording condition | Low background noise | | Duration | Mean = 1 min | **Source and collection methodology:** Source and collection methodology. Data was collected via crowdsourcing platforms ### Dataset Use Cases - слайдер **Карточки индустрий:** - **Индустрия:** Telecommunications — **Заголовок:** Enhancing Call-Center Speech Recognition — **Текст:** Call-center platforms can use this Slovenian speech dataset to improve accuracy in recognizing spontaneous speech during real customer interactions. The corpus contains native speakers, natural dialogue patterns, and short telephone-quality segments, giving engineers reliable training data for recognition tasks and spoken language processing. This helps reduce transcription errors and speeds up automated routing. - **Индустрия:** AI Assistants & Voice Interfaces — **Заголовок:** Training Voice-Driven Applications — **Текст:** Developers building voice assistants in the Slovenian language benefit from speech material that reflects real conversational flow. The dataset consists of telephone dialogues with clear speech quality, enabling language models to handle continuous speech and varied phrasing. These recordings support more natural responses and smoother interactions in everyday voice-controlled systems. - **Индустрия:** Speech Technology & Model Development — **Заголовок:** Building Acoustic Models and Evaluation Pipelines — **Текст:** Research teams working on automatic speech technologies can use this dataset as clean training data for acoustic modeling and test data for benchmarking. The speech recordings cover spontaneous speech types that help refine recognition systems and validate performance across different Slovenian dialogue styles. It provides a practical base for iterative model development. - **Индустрия:** Public Sector & Accessibility Tools — **Заголовок:** Improving Transcription and Speech-to-Text Services — **Текст:** Government agencies and accessibility platforms can use this Slovenian audio dataset to develop transcription tools for public information services. The corpus consists of short, well-structured recordings that support language processing for users with hearing impairments or those relying on real-time captions. It strengthens local digital-access initiatives with reliable Slovenian texts and speech data. ### Фак **Заголовок FAQs:** FAQs **Перечень вопросов:** - **Вопрос:** Can I request a sample of the dataset before purchasing? — **Ответ:** Yes. You can request a free sample of the Slovenian audio dataset to evaluate audio clarity, annotation structure, and compatibility with your recognition systems. This allows you to test speech quality before purchasing the full dataset. - **Вопрос:** How was the speech data collected? — **Ответ:** The speech material was collected using telephone devices via controlled crowdsourcing. All recordings were captured under low background noise conditions to ensure consistent speech quality suitable for training language models and continuous speech systems. - **Вопрос:** How are Unidata datasets licensed? — **Ответ:** Unidata datasets follow a dual-licensing model. Free samples are available for testing, while full Slovenian speech datasets can be accessed exclusively through purchase. - **Вопрос:** Do Unidata datasets comply with GDPR and data privacy laws? — **Ответ:** Yes. All datasets are curated in compliance with GDPR and applicable privacy regulations. Each recording is collected from lawful and ethically approved sources, ensuring responsible handling of speech data. - **Вопрос:** How does Unidata store its datasets? — **Ответ:** Datasets are securely stored on AWS cloud infrastructure following ISO 27001 and ISO 27701 standards. This guarantees a secure, privacy-focused environment for managing and distributing Slovenian language datasets. - **Вопрос:** How long does it take to receive the dataset? — **Ответ:** After you submit a request, Unidata will contact you to confirm requirements and complete documentation. Once the agreement is signed and payment is processed, the Slovenian speech dataset is delivered within 3–10 days. - **Вопрос:** Is this real-world data or synthetic data? — **Ответ:** This dataset consists exclusively of real-world speech recordings. All audio was captured from native Slovenian speakers during actual telephone conversations, providing authentic spontaneous speech for recognition systems. - **Вопрос:** Why are real telephone conversations useful for speech recognition training? — **Ответ:** Telephone conversations represent realistic audio conditions similar to those encountered in everyday voice applications. Training with conversational recordings helps models improve their ability to handle natural speech, different speaking styles, and practical communication scenarios.