Russian Speech Recognition Dataset
The Russian speech dataset includes 338 hours of telephone dialogues in Russian from 460 native speakers, offering high-quality audio recordings with detailed annotations (text, speaker ID, gender, age) to support speech recognition systems, natural language processing, and deep learning models for building accurate Russian dialogue and audio datasets
-
- Hours
- 338
-
- Speakers
- 460
-
- Word Accuracy Rate
- 98%
- NLP
- LLM
- Machine Learning
- Audio Processing
- ASR
- Voice Recognition
The Russian speech dataset includes 338 hours of telephone dialogues in Russian from 460 native speakers, offering high-quality audio recordings with detailed annotations (text, speaker ID, gender, age) to support speech recognition systems, natural language processing, and deep learning models for building accurate Russian dialogue and audio datasets
- NLP
- LLM
- Machine Learning
- Audio Processing
- ASR
- Voice Recognition
-
- Hours
- 338
-
- Speakers
- 460
-
- Word Accuracy Rate
- 98%
Dataset Info
| Characteristic | Data |
| Description | Audio of telephone dialogues in Russian for training NLP models in real-world conversational scenarios. |
| Data types | Audio |
| Tasks | Speech recognition, NLP |
| Country | Russia(RUS) |
| Hours of telephone dialogue | 338 |
| Number of speakers | 460 |
| Labeling | Annotation (text content, speaker's ID, gender, age and other attributes) |
| Gender | Male (46%), Female (54%) |
| Recording device | Android smartphone, iPhone |
Statistics
-
- Distribution by gender
Technical
Characteristics
| Characteristic | Data |
| Audio Format | Wav |
| Sampling Rate | 16kHz |
| Number of Channels | Mono |
| Bit Depth | 16 bit |
| Recording condition | Low background noise (indoor) |
Dataset Use Cases
FAQs
Similar Datasets
-
Commercial
- Classification
- Image Processing
- Machine Learning
- Data Collection
- Data Visualization
Dataset with 30K Illustrations in 20 Artistic Styles
Dataset with 30K Illustrations in 20 Artistic Styles is a high-quality professional illustrations dataset containing 30,000 images across 20 diverse artistic styles, including 3D, Cartoon, Caricature, Graffiti, and more. The annotated images dataset includes metadata on style, color, keywords, and plot, providing rich training data for image classification, style transfer, and creative machine learning applications.
30,000 images
20 styles -
Commercial
- Machine Learning
- Audio Processing
- ASR
- Voice Recognition
Sound Effects Dataset
Sound Effects Dataset contains 500,000 professionally recorded and curated sound effect audio files, designed for a wide range of creative, research, and machine learning applications. This high-quality audio dataset includes real-world and synthetic audio events, rich metadata, and stereo recordings, enabling audio classification, speech recognition, and scene analysis across diverse acoustic environments.
500,000 Audio
-
Commercial
- Machine Learning
- Audio Processing
- ASR
- Voice Recognition
Audio Dataset: Various Music Genres
This music genres dataset contains 500,000 studio-grade music tracks in lossless FLAC format, designed for music genre classification and detection tasks. It provides rich music metadata, including detailed genre labels, instruments, and artist information, making it ideal training data for machine learning and deep learning models in audio analysis.
500,000 Audio
-
Commercial
- NLP
- LLM
- Machine Learning
- Audio Processing
- ASR
- Voice Recognition
Portuguese Speech Recognition Dataset
The dataset contains 406 hours of annotated telephone dialogues from 590 native Portuguese speakers, offering detailed audio recordings, transcriptions, and speaker metadata to train speech recognition systems, NLP models, and machine learning applications with diverse Portuguese speech datasets
406 Hours
590 Speakers
98% Word Accuracy Rate -
Commercial
- NLP
- LLM
- Machine Learning
- Audio Processing
- ASR
- Voice Recognition
Japanese Speech Recognition Dataset
Japanese Speech Recognition Dataset contains audio recordings of real-world Japanese telephone dialogues between native speakers, providing speech data with detailed annotations for speech recognition, language models, and conversational AI, making it ideal training data for recognition systems, speech synthesis, and machine learning applications
513 Hours
800+ Speakers
95% Sentence Accuracy Rate -
Commercial
- NLP
- LLM
- Machine Learning
- Audio Processing
- ASR
- Voice Recognition
American Speech Recognition Dataset
The dataset includes 1,136 hours of annotated telephone dialogues from 1,416 native speakers across the United States, providing high-quality audio recordings, transcriptions, and speaker metadata to support speech recognition systems, NLP tasks, and machine learning models requiring diverse American speech datasets
1,100+ Hours
1,400+ Speakers
95% Sentence Accuracy Rate -
Commercial
- NLP
- LLM
- Machine Learning
- Audio Processing
- ASR
- Voice Recognition
Italian Speech Recognition Dataset
The dataset provides 499 hours of annotated telephone dialogues from 676 native speakers in Italy, delivering high-quality audio recordings, transcriptions, and speaker metadata to support speech recognition systems, NLP training, and machine learning models with diverse Italian speech datasets
499 Hours
670+ Speakers
98% Word Accuracy Rate -
Commercial
- NLP
- LLM
- Machine Learning
- Audio Processing
- ASR
- Voice Recognition
Hindi Speech Recognition Dataset
The hindi speech dataset contains a large collection of audio recordings of real-world Hindi telephone dialogues between native speakers, offering annotated training data for speech recognition, recognition systems, and NLP applications, making it an essential dataset for developing speech technology in Indian languages
760 Hours
1,000+ Speakers
95% Sentence Accuracy Rate -
Commercial
- NLP
- LLM
- Machine Learning
- Audio Processing
- ASR
- Voice Recognition
German Speech Recognition Dataset
The German speech dataset contains high-quality audio recordings of real-world telephone dialogues between native German speakers, offering speech data with precise annotations for speech recognition, recognition models, and automatic speech technology, providing essential training data for recognition systems, machine learning, and accurate transcriptions in German-language applications
431 Hours
590+ Speakers
95% Sentence Accuracy Rate -
Commercial
- NLP
- LLM
- Machine Learning
- Audio Processing
- ASR
- Voice Recognition
French Speech Recognition Dataset
This speech recognition dataset comprises 547 hours of telephone dialogues in French from 964 native speakers, providing audio recordings with detailed annotations (text, speaker ID, gender, age) to support speech recognition systems, natural language processing, and deep learning models for training and evaluating automatic speech recognition technology
547 Hours
964 Speakers
98% Word Accuracy Rate
Why Companies Trust Unidata’s Services for ML/AI
Share your project requirements, we handle the rest. Every service is tailored, executed, and compliance-ready, so you can focus on strategy and growth, not operations.
What our clients are saying
UniData
Data purchase
Our team got in touch with UniData for purchasing video data. The team at UniData was transparent, timely, and pleasant to communicate and negotiate with. Their samples and descriptions aligned well with the data we received. We will certainly reach out to UniData again if we're in search of 3rd party video data.
Data is well organized and easy to…
Data is well organized and easy to consume. We could download and use it for training within few hours of receiving the data links.
Our Clients Love Us
Ready to get started?
Tell us what you need — we’ll reply within 24h with a free estimate
- Andrew
- Head of Client Success
— I'll guide you through every step, from your first
message to full project delivery
Thank you for your
message
We use cookies to enhance your experience, personalize content, ads, and analyze traffic. By clicking 'Accept All', you agree to our Cookie Policy.