4.5 out of 5 stars
(443 Ratings)
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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5.0 out of 5 stars
(14 Ratings)
Numa is the AI Customer Operations System built for dealerships that are tired of losing revenue and customers to broken processes. Every day, service calls go unanswered, advisors spend their time fielding "where's my car?" instead of selling work, and managers only find out about unhappy customers after the bad review is already posted. Numa fixes this at the infrastructure level that can follow-up with your customers automatically and give visibility into customer satisfaction to your advisors, reps, and managers. Operator answers and routes every inbound call so nothing goes dark. Status Updates proactively reaches out to customers so advisors stop drowning in callbacks. Voice AI books appointments automatically so customers never wait. LiveCSI flags heat cases in real time so managers can intervene before a CSI score takes the hit. Opportunities can proactively reach out on declined services, open recalls, and equity moments. And it all runs through one unified system: one inbox, one shared context. The result: recovered revenue, freed-up advisors, and a customer experience that increases CSI and builds loyalty.
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Voxtral Mini TTS 3.0
Voxtral Mini TTS 3.0 is a text-to-speech solution developed by Mistral AI, designed specifically for developers looking to create voice-enabled applications and services. This model excels in producing speech from text in both batch and real-time scenarios, offering features such as preset or custom voices, emotion modulation, pace adjustments, and personalized pronunciation options. Furthermore, it is capable of generating multilingual speech and adapting to various dialects, making it ideal for applications like conversational audio, localized content delivery, spoken interactions, and voice agent functionalities. Through Mistral's API, developers can easily access its voice-cloning and speech generation features. Additionally, Voxtral Mini TTS 3.0 is integrated into Mistral's broader Voxtral 3 voice-agent framework, which encompasses speech recognition, reasoning, tool utilization, as well as speech generation; notably, the entire Voxtral 3 system can be deployed on the customers' own infrastructure, offering flexibility and control for developers. Ultimately, this model represents a significant advancement in voice synthesis technology, empowering developers to create more dynamic and engaging user experiences.
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MAI-Voice-2
MAI-Voice-2 represents the pinnacle of Microsoft AI's advancements in text-to-speech technology, delivering a remarkably expressive and lifelike audio experience tailored for various production applications where quality and emotional delivery are essential to user interaction. This model caters to a diverse range of uses, including virtual assistants, customer service, audiobooks, accessible technology, gaming, podcasts, educational courses, simulations, and creative projects, where achieving a natural and fluid voice is paramount. Expanding from solely English support, it now encompasses a total of 15 languages while preserving its signature naturalness and expressiveness, including languages such as Italian, French, German, Hindi, Spanish, Portuguese, Korean, Chinese, Turkish, Russian, Thai, Dutch, Romanian, and Hungarian. MAI-Voice-2 also introduces detailed emotion control through specific tags like sad, whispered, and excited, as well as role-specific expressive speech, making it suitable for applications ranging from motivational speakers to sports commentary and character performances. The versatility of this model ensures it can meet the unique needs of various industries, enhancing how voice technology is integrated into everyday experiences.
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