Leading proprietary ASR/MT technologies
AppTek ASR/MT solutions were developed based on years of R&D experience, innovative technology, intellectual property and system testing. These end-to-end solutions seamlessly integrate across multiple solid technologies to create a robust and scalable platform. We specialize in rapid and flexible efficient language / domain / dialect development and adaption. Our experience brings a large amount of of well-prepared in-house/proprietary text/acoustic data.
Individually, and together, both our ASR and MT technologies are trainable, scalable and adaptable machine-learning engines developed to meet virtually any challenge.
Deep Learning Automatic Speech Recognition for:
Create speech-embedded mobile applications utilizing automatic speech recognition and across multiple languages. AppTek’s Mobile APIs make speech a breeze for any developer interested in adding speech-to-text or text-to-text services to their app.
As the Internet of Things (IoT) flourish in today’s modern economy, AppTek can assist in creating speech-enabled objects, devices, vehicles, building or any other platform embedded with electronics, sensors and network connectivity.
From fitness tracking to navigation tools to fashion wear, wearable technologies can be quickly transformed into powerful speech-enabled devices for advanced voice-to-text and text-to-text services tailored towards a modern economy.
World Class Technology and Services
AppTek’s workflows for transcription and translation hinges upon our proprietary automatic speech recognition (ASR) engine, equipped with deep neural network and GPU technologies, and patent-pending machine translation (MT), a combination of statistical and rule-based engines.
- Deep Neural Networks (DNN)
- Recurrent Neural Networks (RNN)
- Convolutional Neural Networks (CNN)
- Long Short-Term Memory (LSTM)
- Feature extractors
- Acoustic and Language Models
- Hybrid DNN and Hidden Markov Model (HMM)
- Tandem approach with bottleneck features in Gaussian Mixture Models and HMM
- ARPA Language modeling
Sample Accented English Translation