Google Cloud Speech-to-Text
An API powered by Google's AI technology allows you to accurately convert speech into text. You can accurately caption your content, provide a better user experience with products using voice commands, and gain insight from customer interactions to improve your service. Google's deep learning neural network algorithms are the most advanced in automatic speech recognition (ASR). Speech-to-Text allows for experimentation, creation, management, and customization of custom resources. You can deploy speech recognition wherever you need it, whether it's in the cloud using the API or on-premises using Speech-to-Text O-Prem. You can customize speech recognition to translate domain-specific terms or rare words. Automated conversion of spoken numbers into addresses, years and currencies. Our user interface makes it easy to experiment with your speech audio.
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QEval
QEval is a cloud-based platform designed to help call centers manage quality assurance and compliance needs effectively. It offers key features such as integrated online coaching for agents, role-based access controls, encrypted recordings, and detailed trend reporting. As a versatile and intelligent contact center quality monitoring and performance management tool, QEval utilizes advanced artificial intelligence and real-time speech analytics to provide actionable insights and analytics. The platform streamlines the coaching process by delivering training updates and offers enhanced visibility into coaching practices, moving beyond outdated methods of mere checkbox evaluations. By leveraging AI-driven speech analytics, QEval uncovers valuable performance insights, including emotional cues, to improve call center quality monitoring and foster more impactful agent coaching.
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AccuSpeechMobile
AccuSpeechMobile offers a state-of-the-art speech recognition system tailored for mobile devices, supporting over 40 languages. Engineered specifically for industry applications, its advanced noise cancellation technology ensures exceptional accuracy even in loud settings. The system features a speaker-independent voice engine that operates seamlessly for any user right from the start, eliminating the need for individual voice training or management of voice data. As a fully device-based solution, AccuSpeechMobile operates without requiring a voice server or middleware, and it integrates effortlessly with existing backend systems such as WMS, ERP, EAM, and CMMS. Users can take advantage of its comprehensive functionality without needing a cloud or network connection, allowing for effective data collection directly on the device. Additionally, AccuSpeechMobile supports multi-modal interaction, enabling users to receive auditory information while issuing spoken commands, which can be done concurrently with the use of intelligent scanners. Moreover, users can easily access supplementary information displayed on the device screen alongside speech-to-text and text-to-speech operations, enhancing productivity and user experience. This integration of features positions AccuSpeechMobile as an indispensable tool in modern mobile workflows.
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TrulyNatural
Sensory stands at the forefront of implementing embedded neural network-driven speech recognition, establishing itself as the leading entity in the development and optimization of speech recognition software that operates efficiently with limited resources and low MIPS consumption. Their extensive background and ongoing innovations have culminated in the creation of the first embedded large vocabulary continuous-speech recognizer (LVCSR), which rivals the performance of cloud-based systems. In contrast to typical voice recognition applications found in smartphones and mobile devices—like those powered by voice assistants such as Alexa, Google Assistant, Siri, and Cortana—Sensory’s technology is integrated directly into devices, eliminating the need for a Wi-Fi connection. Many users prefer solutions that do not rely on cloud-based systems for high-quality speech recognition, while others look for a hybrid approach that balances client and cloud capabilities for optimal functionality. As concerns regarding privacy, efficiency, and bandwidth escalate, there is a growing trend toward processing data at the edge, which further enhances Sensory’s relevance in the market. This shift not only improves performance but also addresses user demands for greater control over their data.
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