Best Speech Recognition Software for Linux

Picovoice is the first and only ubiquitous on-device voice AI platform. Picovoice offers speech-to-text, voice search, wake word, Speech-to-Intent (intent detection) and voice activity detection engines. Its stack can run on anything from embedded devices to web browsers, providing an immersive experience not achievable by any Big Tech.

Sensory Wake Word is an embedded voice-trigger technology that delivers accurate, low-power "hotword" detection for always-on voice interfaces. Pre-built wake words enable fast deployment with consistent accuracy across noisy real-world environments. Key capabilities include an ultra-low resource footprint (as little as 30-40KB code size on DSP), always-on and always-private operation with no cloud dependency, robust noise rejection, and platform-independent deployment across Windows, Linux, Android, macOS, and RTOS. Runs on a wide range of cores including ARM Cortex-M, Cirrus ADSP2, CEVA Teaklite, and Tensilica Hifi. Backed by over 30 years in embedded voice AI and billions of devices shipped worldwide with customers like Amazon, Apple, Google, BMW, Microsoft, and Samsung. Developers can build and test custom wake word models in hours using Sensory's VoiceHub self-service portal.

Companies engage with customers by phone more than any other channel, and these interactions represent a gold mine of untapped information. Listening to every customer call is costly and time-consuming and not physically practical. As a result, only a fraction of randomly selected calls is typically reviewed. These voice interactions reveal the true voice of your customers and enable you to get to the heart of their concerns. With our highly accurate, automated speech-to-text transcription, you can transform your unstructured voice data into transcripts that can be integrated into your analytics platforms. Voci enables you to improve agent quality monitoring, enhance the customer experience, extract competitive intelligence and ensure compliance.