Speech Recognition Interview Questions | Speech Recognition Interview Questions and answers

Speech Recognition Interview Questions list for experienced

What is the best speech recognition software?
What is Speech Recognition used for?
How is speech recognition done?
Which algorithm is used in the speech recognition?

Speech Recognition interview questions and answers on advance and basic Speech Recognition with example so this page for both freshers and experienced condidate. Fill the form below we will send the all interview questions on Speech Recognition also add your Questions if any you have to ask and for apply in Speech Recognition Tutorials and Training course just send a mail on info@pcds.co.in in detail about your self.

What is Speech Recognition ?

Answer : Speech recognition works using algorithms through acoustic and language modeling. Acoustic modeling represents the relationship between linguistic units of speech and audio signals; language modeling matches sounds with word sequences to help distinguish between words that sound similar. Often, hidden Markov models are used as well to recognize temporal patterns in speech to improve accuracy within the system.

Questions : 1 :: What is the best speech recognition software?

The Best Dictation Software: Apple Dictation (iOS, macOS) Dictation.io (Web) Dragon by Nuance (Android, iOS, macOS, Windows) Gboard (Android, iOS) Google Docs Voice...View answers

Questions : 2 :: What is Speech Recognition used for?

speech recognition, voice recognition is a computer software program or hardware device with the ability to decode the human voice. Voice recognition is commonly used to operate a device,...View answers

Questions : 3 :: How is speech recognition done?

Speech recognition software works by breaking down the audio of a speech recording into individual sounds, analysing each sound, using algorithms to find the most probable word fit in that language,...View answers

Questions : 4 :: Which algorithm is used in the speech recognition?

The algorithms used in this form of technology include PLP features, Viterbi search, deep neural networks, discrimination training, WFST framework,...View answers

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