RESUMO
The overall purpose of automatic speech recognition systems is to make possible the interaction between humans and electronic devices through speech. For example, the content captured from user's speech using a microphone can be transcribed into text. In general, such systems should be able to overcome adversities such as noise, communication channel variability, speaker's age and accent, speech speed, concurrent speeches from other speakers and spontaneous speech. Despite this challenging scenario, this study aims to develop a Web System Prototype to generate medical reports through automatic speech recognition in the Brazilian Portuguese language. The prototype was developed by applying a Software Engineering technique named Delivery in Stage. During the conduction of this technique, we integrated the Google Web Speech API and Microsoft Bing Speech API into the prototype to increase the number of compatible platforms. These automatic speech recognition systems were individually evaluated in the task of transcribing the dictation of a medical area text by 30 volunteers. The recognition performance was evaluated according to the Word Error Rate measure. The Google system achieved an error rate of 12.30%, which was statistically significantly better (p-value <0.0001) than the Microsoft one: 17.68%. Conducting this work allowed us to conclude that these automatic speech recognition systems are compatible with the prototype and can be used in the medical field. The findings also suggest that, besides supporting medical reports construction, the Web System Prototype can be useful for purposes such as recording physicians' notes during a clinical procedure.