Creating Deep Learning-Based Speech Products in Record Time
Samer Hijazi, Ph.D, BabbleLabs
In the past two years, we’ve seen the industry discover speech as a critical interface protocol between humans and machines, especially for cloud-based information queries driven by speech recognition. However, speech recognition is just the tip of the iceberg. A whole new set of functions—speech enhancement, speaker identification and authentication, and background noise classification—are becoming available. These create new and significant opportunities for every application that touches audio or video—opening new potential for improved intelligibility, personalization, and customer “stickiness.”
BabbleLabs Clear Cloud is an example of a breakthrough deep learning technology applied to widely applicable speech APIs and it gives us a sense of the future roadmap of speech-centric applications. The number of speech problems BabbleLabs is working on is growing by the day, and the company has to develop a flow that will maximize the speed of creating production-ready SW IP. Using mature and comprehensive toolboxes from MathWorks, such as DSP System Toolbox™, Deep Learning Toolbox™ (formerly Neural Network Toolbox™), and MATLAB Coder™, BabbleLabs can create state-of-the-art SW IP products in record time. These SW IP products integrate advanced digital signal processing (DSP) and sophisticated deep learning architectures using a homogeneous flow from development to deployment.
Deep Learning Toolbox™ (formerly Neural Network Toolbox™)
Recorded: 5 Nov 2018
Featured Product
DSP System Toolbox
Up Next:
Related Videos:
Sélectionner un site web
Choisissez un site web pour accéder au contenu traduit dans votre langue (lorsqu'il est disponible) et voir les événements et les offres locales. D’après votre position, nous vous recommandons de sélectionner la région suivante : .
Vous pouvez également sélectionner un site web dans la liste suivante :
Comment optimiser les performances du site
Pour optimiser les performances du site, sélectionnez la région Chine (en chinois ou en anglais). Les sites de MathWorks pour les autres pays ne sont pas optimisés pour les visites provenant de votre région.
Amériques
- América Latina (Español)
- Canada (English)
- United States (English)
Europe
- Belgium (English)
- Denmark (English)
- Deutschland (Deutsch)
- España (Español)
- Finland (English)
- France (Français)
- Ireland (English)
- Italia (Italiano)
- Luxembourg (English)
- Netherlands (English)
- Norway (English)
- Österreich (Deutsch)
- Portugal (English)
- Sweden (English)
- Switzerland
- United Kingdom (English)
Asie-Pacifique
- Australia (English)
- India (English)
- New Zealand (English)
- 中国
- 日本Japanese (日本語)
- 한국Korean (한국어)