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Speech to text is a computer program or technology that automatically converts human speech into text.
Speech synthesis, also known as text-to-speech, refers to the processes that are used to enable the artificial or computer generation of human speech.
Three common examples of NLP language models include Large Language Models, fine-tuned language models, and edge language models.
4 key Natural Language Processing techniques include topic modeling, named entity recognition, text summary, and lemmatization and stemming.
Some common challenges that software developers face when creating NLP software include sarcasm, irony, synonyms, and context.
NLP is a branch of artificial intelligence that is predicated on the creation of computers that can understand and respond to human language.
Natural Language Generation or NLG focuses on producing or programming spoken and written language narratives from a data set.
Some common real-world applications of Natural Language Processing include email filters, search results, and predictive text, among others.
Manual transcription is defined as the process of representing oral text, either audio or video files, into a written text format. The Automatic Transcription enlists in the services of a software program to perform transcriptionist services.
Profanity filters are a form of script used on computer programs that use written text as well as voice and speech recognition software that automatically censor profane or inappropriate words and phrases.
Speech recognition technology is synonymous with AI assistants like Siri and Alexa but it is far more comprehensive and impactful than that.