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Automatic speech recognition (ASR) is the translation of spoken words into text. Speech recognition has many applications such as virtual speech assistants (e.g., Apple’s Siri, Google Now, and Microsoft’s Cortana), speech-to-speech translation, voice dictation and...
In this project, a Persian Question Answering (QA) system is created to ease the access to information resources for doctors, health providers and users. To this aim, a set of Persian documents related to drugs and diseases are collected. The processing of the...
As a biometric, voice can be used to identify or verify a speaker. Speaker recognition denotes techniques for identification/verification of the person who is speaking by characteristics of his/her voice.
Data analysis (affinity analysis or data mining) includes computational techniques for discovering relationships of data that come from activities performed by specific individuals or groups. Generally, data analysis can be applied to any data. In DSP Lab, data...
Automatic Speech Recognition (ASR) denotes to techniques that convert spoken speech into text. Our ASR in DSP Lab concentrates on Persian speech recognition and related challenges such as 1.robustness 2.language modeling 3.spontaneous speech...
