Audio Classification Services for Machine Learning

Accurately identifying audio is the foundation for conversational AI solutions. Our global crowd will label and collect all of your audio datasets so you can get the most out of your model.

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What is Audio Classification ?

Audio classification is the process performed by human annotators to determine the content and class of sounds from audio samples for machine learning. We can improve your AI model’s ability to distinguish sounds at varying amplitudes of waveform, frequency, and timbre.

Why MarsCrowd?

A Crowd of

Trained Specialists

A Crowd of

Languages

A Crowd of

In-House Linguists

Audio Classification in Action

When we work together on a project, you can expect a seamless process for delivery. Audio classification can be broken down into 5 general steps from the collection of audio data to the continual improvement of the model while repeating the process. The overall goal is to accurately and automatically segment audio files for improved content management. The process looks something like the model below:

Tokenization

Training of

classification model

Text Data Collection for Machine Learning Process

Text data collection

Design of

feature extractors

Performance evaluation & visualization

How does Audio Classification work?

Recorded audio can take various computer-readable formats such as wav, mp3, and WMA. These formats allow our Crowd to characterize audio based on parameters such as bandwidth, frequency, and decibels. Before using audio data to improve a machine learning model’s efficiency, audio data must be first categorized into classes of similar frequency and waves. These frequency-based features can then be extracted as input variables into a machine learning model to generate new audio such as a song or help machines understand a language’s unique characteristics.
The underlying problem for many models is a lack of high quality audio data. In order to get the most out of your model, make sure the data you’re feeding it is sufficient. Our global Crowd is able to not only help in the labeling of audio data, but can help you collect the data as well. Get your project off to the best possible start with MarsCrowd.

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