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Boost Speech to Text Accuracy

  • On July 4, 2022
Natural Language Processing (NLP) is a branch in science that is gaining momentum in the last years. Its holy grail is to build a machine that understand and respond to text or voice data the same way that humans do. NLP has gained momentum due to two main correlated reasons: (1) the increasing usage of […]
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Voice bots in call centers

  • On May 13, 2021
An emerging technology for call center is the usage of voicebots. The main purpose of introducing bots is to reduce the load from the call center agents. Voicebots are usually the first to receive the telephone call from the customer, provide initial assistance and if required route the call to the best human agent group […]
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ASR in a Noisy Environment

  • On November 11, 2019
Automatic Speech Recognition (ASR) is a powerful technology that uses advanced machine learning and artificial intelligence techniques. ASR improves the quality of service while reducing its cost. Modern ASR engines are being trained to recognize different languages and dialects. They can also be trained for an industry-specific vocabulary. Overall, modern ASR engines are very accurate […]
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Transcription in noisy call centers

  • On July 18, 2018
Today, modern call centers are deploying sophisticated software components to help them improve customer experience, increase productivity and comply with new regulations. One of the enablers for these new capabilities is the requirement to have a reliable and accurate analysis and transcription of the agent’s voice. Such analysis and transcription is used for many purposes […]
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Improving the Accuracy of Speech Recognition Applications

  • On November 20, 2016
Background One of the main problems that can badly impact the accuracy of speech recognition is ambient noise. Ambient noise and especially non-stationary noise is very problematic. See Cancelling Ambient Noise In Telephony for explanation on the nature of ambient noise. The problem with ambient noise is that the speech recognition engine has difficulty to […]
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Automatic Speech Recognition (ASR) in IVR Systems

  • On November 20, 2016
Background The most important role of an IVR system is to efficiently handle incoming calls allowing the organization to improve its service while saving time & money when processing these calls. In order to improve ROI and increase customer satisfactions, organizations need to implement an efficient IVR that quickly gathers the necessary information from the […]
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