Best Speech Analytics Software
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Compare the Top Speech Analytics Software as of November 2025
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What is Speech Analytics Software?
Speech analytics software analyzes audio recordings, typically from customer service calls, to extract valuable insights and improve business operations. By using speech recognition, natural language processing (NLP), and machine learning algorithms, these tools can transcribe spoken words, assess sentiment, identify keywords, and detect patterns in conversations. Speech analytics software is often used to evaluate customer interactions, monitor agent performance, identify customer pain points, and ensure compliance with industry standards. It is widely used in call centers, sales, and customer support departments to improve service quality, enhance customer satisfaction, and optimize training programs. Compare and read user reviews of the best Speech Analytics software currently available using the table below. This list is updated regularly.
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Speech2Structure
Averbis
When treating a patient, doctors spend on average two-thirds of their time documenting the treatment and far less time on examinations or patient interviews. To allow doctors to spend more time with their patients, Averbis is working on Speech2Structure – a software solution where the documentation is recorded live by voice and structured on-the-fly. Speech2Structure can correctly recognize and resolve many linguistic variations such as negations, suspected diagnoses, diagnoses that have taken place, etc. when recognizing diagnoses. Pathological laboratory values or microbiology results are also converted into corresponding diagnoses. The recorded medications can also provide clues to diagnoses.
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