Improving Speech Recognition Technology in Consumer Voice-Enabled Devices

A study showing speech recognition accuracy rates of more than 90 percent compared to traditional algorithms.

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Speech recognition study using wake word detection

About the Study

Many factors affect the performance of ASR systems, including background noise and reverberation, echo, and distance from the speaker.

The following study discusses these challenges and examines solutions to produce more accurate, intelligible ASR performance for voice and speech recognition devices. It shows Kardome’s speech recognition enhancement technology outperforming standard industry algorithms.

We measure Wake Word False Rejection Rates and Response Accuracy Rates by studying ASR performance in various environments, from the quietest to the noisiest.

In the study we look at the following Performance Indicators:

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Improving speech recognition accuracy
 in consumer devices