Pushing the boundaries of voice technology through cutting-edge research and publications
12
Published Papers
28
Patents Awarded
40+
Active Researchers
VoxelVoice Labs invests heavily in research and development to advance the state-of-the-art in voice technology. Our team collaborates with leading universities and research institutions to push the boundaries of what's possible in speech recognition, natural language understanding, and voice synthesis. We publish our findings in peer-reviewed conferences and journals, contributing to the broader AI community.
In-depth technical documentation and research findings
Speech Recognition
This paper presents our breakthrough architecture for real-time speech recognition achieving state-of-the-art accuracy with sub-100ms latency. We demonstrate how Conformer networks can be optimized for streaming applications without sacrificing accuracy.
Published
Mar 2024
InterSpeech
Voice Synthesis
We introduce VoxelFlow, a novel neural vocoder that uses invertible normalizing flows to generate high-quality speech at scale. Our approach achieves superior naturalness with faster inference than existing methods while maintaining excellent generalization across speakers.
Published
Dec 2023
ICASSP
Natural Language Understanding
This paper demonstrates how transfer learning and multilingual pre-training enable intent recognition across 50+ languages without requiring language-specific training data. Our approach reduces deployment complexity while maintaining competitive accuracy.
Published
Sep 2023
ACL
Privacy & Security
We present a framework for voice-based authentication that provides formal privacy guarantees through differential privacy. Our approach enables secure biometric verification without exposing sensitive voice characteristics.
Published
Jun 2023
IEEE S&P
Areas where VoxelVoice Labs is advancing the state-of-the-art
Advancing accuracy, reducing latency, and expanding language support through novel architectures and training techniques.
Building intelligent systems that understand context, nuance, and intent across diverse languages and domains.
Creating natural, expressive speech from text with improved quality and reduced computational requirements.
Developing techniques that enable powerful voice capabilities while protecting user privacy and preventing misuse.
Technical blog posts and research insights
Research Update
Exploring the architecture that powers our speech recognition with self-attention and convolution.
Read →Technical Guide
Best practices for deploying voice applications across multiple languages and regions.
Read →Security Research
How we maintain authentication security while respecting user privacy with differential privacy.
Read →We collaborate with leading universities and research institutions
MIT
Speech Processing Lab
CMU
Language Technologies Institute
Stanford
AI Index & HAI
Oxford
Department of Engineering
We're always looking for talented researchers and forward-thinking organizations to partner with.