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SEMINAR TOPICS CATEGORY

Topics Tagged ‘Speech’

Speech Processing

Added on: February 18th, 2020 by Afsal Meerankutty No Comments

Speech processing is the study of speech signals and the processing methods of these signals.The signals are usually processed in a digital representation whereby speech processing can be seen as the intersection of digital signal processing and natural language processing.

  • Speech recognition, which deals with analysis of the linguistic content of a speech signal.
  • Speaker recognition, where the aim is to recognize the identity of the speaker.
  • Enhancement of speech signals, e.g. audio noise reduction,
  • Speech coding, a specialized form of data compression, is important in the telecommunication area.
  • Voice analysis for medical purposes, such as analysis of vocal loading and dysfunction of the vocal cords.
  • Speech synthesis: the artificial synthesis of speech, which usually means computer generated speech.
  • Speech enhancement: enhancing the perceptual quality of speech signal by removing the destructive effects of noise, limited capacity recording equipment, impairments, etc.

Speech Recognition

Added on: March 4th, 2012 by No Comments

Language is human beings most important means of communication and speech its primary medium. Speech provides an international forum for communication among researchers in the disciplines that contribute to our understanding of the production, perception, processing, learning and use. Spoken interaction both between human interlocutors and between humans and machines is inescapably embedded in the laws and conditions of Communication, which comprise the encoding and decoding of meaning as well as the mere transmission of messages over an acoustical channel. Here we deal with this interaction between the man and machine through synthesis and recognition applications.
The paper dwells on the speech technology and conversion of speech into analog and digital waveforms which is understood by the machines.

Speech recognition, or speech-to-text, involves capturing and digitizing the sound waves, converting them to basic language units or phonemes, constructing words from phonemes, and contextually analyzing the words to ensure correct spelling for words that sound alike. Speech Recognition is the ability of a computer to recognize general, naturally flowing utterances from a wide variety of users. It recognizes the caller’s answers to move along the flow of the call.
We have emphasized on the modeling of speech units and grammar on the basis of Hidden Markov Model. Speech Recognition allows you to provide input to an application with your voice. The applications and limitations on this subject has enlightened us upon the impact of speech processing in our modern technical field.
While there is still much room for improvement, current speech recognition systems have remarkable performance. We are only humans, but as we develop this technology and build remarkable changes we attain certain achievements. Rather than asking what is still deficient, we ask instead what should be done to make it efficient….

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