Training an Audio Encoder with Random Quantization

Software development, custom solutions, cybersecurity and artificial intelligence for digital transformation.

viernes, 8 de agosto de 2025 • 1 min read • Q2BSTUDIO Team

Artificial-Intelligence-

At Q2BSTUDIO we have pretrained a 24-layer 300M parameter Conformer audio encoder using BESTRQ on 300K hours of audio applying strategic masking random quantization and fine-tuning aligned with the latest trends in artificial intelligence

This pretraining process includes the generation of quantized versions of the audio to improve storage and compute efficiency as well as dynamic masking techniques that allow the model to learn robust representations against noise and acoustic variations

The Conformer architecture combines convolutions and transformers to capture local and global audio features speeding up inference time and maximizing accuracy in recognition and classification tasks

At Q2BSTUDIO we leverage our expertise in custom software and custom applications to integrate this encoder into scalable secure and efficient artificial intelligence solutions tailored to each client

Our cybersecurity services ensure protection of critical sensory data while aws and azure cloud services platforms facilitate deployment and automatic scaling of the infrastructure

Additionally we offer business intelligence services and power bi to visualize and analyze results in real time as well as ai agents and ai for businesses that optimize operational processes and generate competitive advantages

With this project we demonstrate Q2BSTUDIO's commitment to excellence in software development custom solutions cybersecurity and artificial intelligence to drive digital transformation

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