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Russian Language Speech Recognition Dataset

Collection and transcription of audio recordings in Russian. The dataset is best for recognition and synthesis of toponyms in Russian
Transcription Process of converting human speech into text
ASR The technology of processing human speech into text format
NLP The ability of a system to understand, analyse and interpret human's languages
Data Collection Gathering data for subsequent annotation
168 200
audio
8 411
toponyms
1 200
people

TECHNICAL SPECIFICATIONS

Each text is voiced by 20 different people from the Commonwealth of Independent States

The average age of the voicing person is 38 years ± 11 years

Gender distribution among voice actors – 30% of men and 70% of women

Data format in the audio package: wav, 16 kHz

APPLICATION AREAS OF THE DATASET

Speech recognition systems:

The data in the dataset to improve automatic speech recognition (ASR) models

Navigation and mapping services:

Speech Recognition to enhance the accuracy and clarity of voice guidance systems, allowing them to accurately pronounce street names and ensure users reach their desired destinations smoothly

Voice assistant development:

Speech Recognition to improve voice assistants' ability to understand and respond to user queries related to street names

FACTORS AFFECTING THE FINAL PROJECT COST INCLUDE

Our data quality guarantee is 95%. For annotation orders requiring quality above 95%, we offer enterprise solutions
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Why
Training Data

  • Quality Assurance:
  • Enhanced Data Accuracy
  • Consistency in Labels
  • Reliable Ground Truth
  • Mitigation of Annotation Biases
  • Cost and Time Efficiency
  • Data Security and Confidentiality:
  • GDPR Compliance
  • Non-disclosure agreement
  • Data Encryption
  • Multiple data storage options
  • Access Controls and Authentication
  • Expert Team:
  • 6 years in industry
  • 35 top project managers
  • 40+ languages
  • 100+ countries
  • 250k+ assessors
  • Flexible and Scalable Solutions:
  • 24/7 availability of customer service
  • 100% post payment
  • $550 minimum check
  • Variable Workload
  • Customized Solutions

Team leads project

Vadim Bolotov
Operations manager
Sergey Razumny
TeamLead Crowd Solutions
Kristina Bugaeva
Project manager
woman

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