Focus on communicating instead of note-taking. When you need words captured, speech-to-text translates contact center conversations, voice commands, and other forms of the spoken-word, so you never miss a detail.
AppTek.ai’s Speech-to-Text services enable enterprise customers and partners to integrate our deep-learning Automatic Speech Recognition (ASR) technologies into their existing or developing content. By converting spoken language into text, we make it easier to search, discover and analyze audio and video assets – significantly increasing their value. Offered as a cloud API or on-premise service, our ASR technology converts audio to text in both streaming live and batch offline environments with unparalleled accuracy across 35+ languages and dialects. We provide capabilities and expert insights into a wide range of usages, including those involving the government, broadcast media/entertainment, call centers, mobile, business meetings and interviews. AppTek.ai's superior model training is customized to solve your specific language needs with applications that bring superior accuracy over traditional out-of-the-box solutions.
With more than 30 years of research and development, our world-renowned scientists built AppTek.ai’s platform to deliver superior results in speed and accuracy. AppTek.ai also provides for its customers unparalleled customization and support for best-in-class transcriptions across a broad array of audio content. Test out a live demo of our base model speech recognition in action to demonstrate the power of our platform and help drive your organization to new levels of success.
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AppTek.ai’s deep-learning ASR platform not only generates accurate and contextual transcripts, but adds punctuation, capitalization, number formatting (e.g. 1 vs. one) and more to improve readability and appearance.
We identify and segment speaker changes through either separate audio channels or via advanced speaker diarization (the separation of audio streams into homogeneous segments for each speaker) on single audio channels.
We index timestamps in parallel with words spoken for fast metadata retrieval of an individual keyword or group of phrases inside audio files.
Our platform distinguishes domain-specific terminology such as proper names, brands or individual names, and generates customized output.
AppTek.ai offers acoustic modeling techniques that optimize spatial filtering for single audio input sources or microphone arrays to improve recognition of speakers and sources.
We update machine-learning models to improve output based on noisy audio environments / recording channels for optimal accuracy in any environment.
AppTek.ai 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.
AppTek.ai 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), large language models (LLMs) 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.
