Audio Data Collection & Annotation

We collect, transcribe, and annotate speech and audio at scale for ASR, voice assistants, and conversational AI — spanning 60+ languages, studio-grade and real-world recording conditions, and emotion- and speaker-level labeling. Every dataset is consented, traceable, and quality-checked to 98% accuracy.

17+
Languages
0M+
Contributors
17%
Accuracy
Fast
Fast Turnaround

Sample Projects

Audio Data in Practice

Speech Recognition Dataset

Large-scale multilingual speech corpus for ASR models

60 languages25,000 hours50 countries

In-Car Voice Command

Automotive voice interface training data with road noise

1,200 hours3 mic setupsReal drivers

Conversational AI Response

Natural dialogue data for conversational assistants

10 languages2,500 hours24-bit/48kHz

Professional Singers Recording

Studio-grade vocal recordings for music AI

15 languages800 hoursStudio-grade

Emotion-Based Speech

Emotionally annotated speech for sentiment models

10 languages1,000 hours6 emotion classes

Multilingual Audio QA

Quality assurance and validation across audio datasets

60 languages1,500 QA specialists98% QC accuracy

Our Edge

Why Choose ConsultBae

Multilingual Expertise

Native speakers across 100+ languages ensuring cultural accuracy and linguistic precision

Crowdsourced Quality

2M+ global contributors with multi-level quality checks — 98% accuracy across all data types

Fast Turnaround

Optimized crowdsourcing workflow that scales rapidly without compromising quality

Enterprise Security

Enterprise-grade protocols, data privacy controls, and global compliance alignment

Trust & Compliance

Ethically Sourced, Securely Managed

GDPR Compliant
ISO 27001 Aligned
SOC 2 Aligned

Data Ethics

  • Written consent for every dataset collected
  • No scraped or reused data — ever
  • Full traceability for every file and contributor

Security & Compliance

  • Enterprise-grade AWS/Azure infrastructure
  • GDPR transparency and data subject rights
  • End-to-end encryption at rest and in transit

How We Deliver

The Crowdsourcing Pipeline

01

Requirements

Understanding your data needs and quality benchmarks

02

Team Assignment

Allocating specialized crowdsourced teams per project

03

Data Processing

Systematic collection, annotation, and validation

04

Quality Assurance

Multi-level manual verification and delivery

Join our 2M+ contributor network

Ready to build your audio data set?

2M+ contributors across 100+ languages, 98% accuracy guaranteed

FAQs

Frequently Asked Questions