AppTek's ASR converts speech into text utilizing patented neural network technology for precise transcriptions of audio from a variety of sources and languages.
AppTek’s award-winning and industry-leading advanced automatic speech recognition (ASR) technology is built on decades of expertise developing AI-based language processing models. AppTek's ASR converts speech into text utilizing patent neural network technology for precise transcriptions of audio from a variety of sources and languages. The platform is designed for the full range of natural language conversations, from high quality broadcast content to low bandwidth telephony audio, and across a variety of languages, to support the most robust enterprise and government applications. No matter the business case, the amount of audio for transcription of the size of your team, by working directly with industry experts, AppTek assures the highest quality speech-to-text results.
Supports the Full Range of Audio Types
Achieve highly accurate audio-to-text results transcribing content from broadcast media and entertainment, telephone conversations, podcasts, meetings, or one-on-one office interviews.
Customization and Domain Adaptation
AppTek’s scientists can tailor the ASR for enhanced recognition and understanding through customizing models for your proprietary content or by adapting the ASR for particular subject domains.
Comprehensive Deployment Options
AppTek’s ASR can be delivered in batch or real-time and can be deployed on-premise for private storage or in the cloud for simple SaaS-enabled processing.
AppTek offers Automatic Speech Recognition (ASR) for a diverse set of languages and wide range of dialects for both narrowband (telephony) and wideband (media) audio. Additionally, we can work with clients to train new customized language models, even across low resource languages, for their exclusive use.
Test-drive AppTek's Automatic Speech Recognition technology to transcribe your spoken content into text. With our base models, you can get an idea of the quality of content in your selected language. However, note we work with our customers on a one-by-one basis to deliver customized models better suited to your content which will drive better quality over time.Try a Demo of AppTek's ASR Technology
AppTek is committed to a customer-first approach, working with clients to deliver meaningful and accurate translations for every application every time.
First, work with you to understand your specific application or content for your application with a deeper understanding of your domain. We will build custom glossaries (proper names, street names, park names, brand names, call center scripts, etc specific to your content). Additionally, we will learn your audio, speaker accents and how fast they speak, and other subtle speaker differences that can help train a customized model.
Next, our scientists train models utilizing a combination of artificial intelligence, deep neural network and machine learning technologies. Models are developed with leading-edge RNN, LSTM and transformer technologies, and your content is fine-tuned by scientists for more accurate solutions beyond out-of-the-box ASR transcription results.
Our account management and engineering team will work with you to deploy your application and ensure everything is working smoothly and machine learning models are meeting quality expectations. We will continually train and improve technologies by both consistently ensuring the subtleties of your domain and content are delivered efficiently through our machine learning technologies while also applying our latest advancements in the science of speech technology to your application.
Analyze and track separate speakers in a multi-participant conversation. AppTek includes timestamps of speaker changes via same-channel or multi-channel audio.
Machine learning models automatically punctuate speech-to-text transcriptions (commas, question marks, etc.) for higher sentence accuracy.
AppTek's ASR converts dates, times, numbers, currencies, etc. into more conventional and readable formats.
Mask or remove sensitive numeric content such as credit card numbers or social security numbers from final transcripts.
Identify and separate speakers in meetings where participants are recorded via separate channels, such as a conference with a microphone array or a two-channel call.
Improve output accuracy even in noisy audio environments and recording channels.
AppTek consists of world-leading research scientists with an extensive list of academic publications contributing to the advancements in neural network and machine learning science. Our team is in the cutting-edge of speech science with deep industry expertise and ASR development with focus including:
Enable speech-to-text with assistive technology for hard-of-hearing persons to improve communication and conversational access.
Deploy speech analytics for deeper insights into the customer experience while gauging sentiment, brand perception and more.
Capture and transcribe 100% of your conversations to analyze, evaluate and ensure compliance with industry regulations.
Transcribe witness/subject statements to reduce the process of manually reviewing audio files for instant keyword or phrase retrieval from recorded audio.
Media and Entertainment
Create real-time closed captioning from live media files to improve accessibility of content; Archive media assets.
Deliver a better customer experience by integrating voice enabled access points combined with NLU offering for mobile applications.
AppTek is a global leader in artificial intelligence (AI) and machine learning (ML) technologies for automatic speech recognition (ASR), neural machine translation (NMT), natural language processing/understanding (NLP/U) and text-to-speech (TTS) technologies. The AppTek platform delivers industry-leading solutions for organizations across a breadth of global markets such as media and entertainment, call centers, government, enterprise business, and more. Built by scientists and research engineers who are recognized among the best in the world, AppTek’s solutions cover a wide array of languages/ dialects, channels, domains and demographics.