TRAMBA: A Novel Hybrid Transformer and Mamba-based Architecture for Speech Super Resolution and Enhancement for Mobile and Wearable Platforms

Practical Solutions and Value of TRAMBA for Mobile and Wearable Platforms Introduction Wearable devices have transformed health monitoring and are expected to grow significantly. However, background noise can affect speech quality in head-worn devices. Challenges and Solutions Traditional methods for separating speech from background noise have limitations in noisy environments. Bone conduction microphones offer noise robustness but suffer from frequency attenuation. TRAMBA addresses these challenges by using widely available audio speech datasets for pre-training and bone conduction data for fine-tuning. This enables real-time speech enhancement and reduces power consumption. Technical Details TRAMBA uses a modified U-Net structure with self-attention and Mamba in the narrow bottleneck layer. It operates on 512ms windows of single-channel audio and preprocesses acceleration data from an accelerometer. Performance and Comparison TRAMBA outperforms other models in various metrics and sampling rates, demonstrating superior speech quality in noisy environments. It also exhibits efficient processing for real-time operation and has a compact memory footprint. Conclusion and Impact TRAMBA represents a significant advancement in integrating speech enhancement into practical mobile and wearable platforms. It extends battery life and enhances speech quality in noisy environments. AI Solutions for Business Evolution Identify Automation Opportunities Find customer interaction points that can benefit from AI. Define KPIs Ensure that AI initiatives have measurable impacts on business outcomes. Select an AI Solution Choose tools that align with your needs and offer customization. Implement Gradually Start with a pilot, gather data, and expand AI usage carefully. Spotlight on a Practical AI Solution: AI Sales Bot Consider the AI Sales Bot designed to automate customer engagement 24/7 and manage interactions across all customer journey stages. Connect with Us For AI KPI management advice, contact us at hello@itinai.com. For continuous insights into leveraging AI, stay tuned on our Telegram t.me/itinainews or Twitter @itinaicom. Discover AI Solutions Explore AI solutions at itinai.com.