Listener – Reliable Automatic Speech Recognition (ASR) Discussions

Listener provides, Accurate Speech Recognition: Utilizes advanced machine learning algorithms and natural language processing techniques to transcribe speech with high accuracy Real-Time Transcription: Capable of transcribing audio in real-time, making it suitable for live applications Noise Robustness: Designed to perform well even in noisy environments, ensuring reliable transcription Customizable Models: Supports customization to recognize specific business terms, proper nouns, and industry-specific jargon Keyword Spotting: Includes features for keyword spotting and hint word recognition, enhancing its utility in various applications Multilingual Support: Offers support for multiple languages, including US, UK, and Indian accented English, as well as Spanish, Portuguese, French, German, and Italian, and many more Flexible Deployment: Available as a Software as a Service (SaaS) or for on-premise deployment, catering to different business needs Scalable Architecture: Features a distributed client-server architecture that supports easy scaling and redundancy for high reliability SDK and WebSocket Support: Provides an SDK library and WebSocket-based live transcription with bidirectional streaming Stereo Transcription: Stereo transcription for separated customer and agent tags for contact centers. Grammar-Based Recognition: Capable of processing simple to complex grammars, useful for tasks like directory lookups and command recognition Consulting Services: Offers consulting for the design and development of complex grammar models. When users leave Listener – Reliable Automatic Speech Recognition (ASR) reviews, G2 also collects common questions about the day-to-day use of Listener – Reliable Automatic Speech Recognition (ASR). These questions are then answered by our community of 850k professionals. Submit your question below and join in on the G2 Discussion.