Audio Collection

Comprehensive speech and audio data for NLP, ASR, and acoustic models. Includes multiple languages, dialects, and acoustic environments.

Overview

Voice AI requires vast amounts of high-quality audio data to understand accents, dialects, and intent accurately. Our audio collection services capture natural conversational speech, scripted monologues, wake words, and background noise environments. With a global network of native speakers, we provide the linguistic diversity necessary to build inclusive and highly accurate speech recognition and natural language processing systems.

Key Benefits

  • Improves speech recognition accuracy across demographics
  • Enhances natural language understanding
  • Builds robust models resistant to background noise
  • Enables global product expansion with localized data

Features

Scripted and spontaneous speech

Controlled prompt reading alongside entirely natural, unscripted dialogues to train robust acoustic models.

Wake word and command collection

High-volume acquisition of specific trigger phrases across diverse vocal profiles for IoT and smart devices.

Over 120 languages and dialects

A vast global contributor network providing access to rare dialects and hyper-local accents.

Controlled and natural acoustic environments

Recordings sourced from silent sound booths as well as noisy streets, cafes, and moving vehicles.

Multi-speaker conversational data

Complex overlapping dialogue collection essential for training sophisticated speaker diarization algorithms.

Background noise and ambient audio

Isolated environmental sounds like sirens, typing, or engine noise to improve noise cancellation and event detection.

Common Use Cases

Automatic Speech Recognition (ASR)
Voice assistants and smart speakers
Speaker identification and diarization
Call center analytics and sentiment analysis

Get started with Audio Collection

Speak with our data experts to customize a pipeline for your specific model needs.