International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 09 Issue: 07 | July 2022
p-ISSN: 2395-0072
www.irjet.net
Voice Recognition in Healthcare Anjali Yadav and Vishal Naik Professor: Meenakshi Garg, Dept. of MCA, Vivekanand Education Society’s Institute of Technology, Maharashtra, India. ---------------------------------------------------------------------***--------------------------------------------------------------------uses this knowledge to convert it into text or carry 1. INTRODUCTION out orders.
A computer programme known as voice recognition software can translate human speech into text that is simple to read. In addition to being able to recognise human speech, speech recognition software may also use the data to carry out tasks more precisely. Voice-activated assistants, like Alexa and Siri, carry out simple activities in response to voice commands. The Daily Speech Recognition software application automatically decodes the voice answer and directs the customer to the appropriate service or support function. consists of phone bots.
The speech-to-text conversion process is used by medical speech recognition software, which calls for a database of languages specialized for the medical industry. As a result, there is a learning curve where physicians must correct software errors and give input to the algorithm in order to increase accuracy. Increased accuracy lessens the need for input and frees up the doctor's hands more and more.
When a spoken word is recognised by a speech recognition system, the system either completes the task or converts the spoken word into text. You have utilised speech recognition technology if you have ever spoken something to your phone or car, such as telling it to "Call Mom or Dad." Speech recognition is frequently used by healthcare professionals to build medical records.
Speech recognition software falls into two primary groups when it comes to medical documents: dictation software and AI typists.
1.2. TYPE OF MEDICAL VOICE RECOGNITION SOFTWARE
DICTATION TOOL: The Dictation Tool uses a microphone to capture speech and immediately and accurately transcribe what you hear. In light of this procedure, it is recommended that the doctor guide the patient's examination exactly how they wish to be noted in a memo.
The technology of speech recognition is not new. It has been in use for a long time. But it is now easier to use, more inexpensive, and more precise. Speech recognition is becoming a more reliable technology to utilise in the healthcare industry and has the potential to change how healthcare providers carry out their regular tasks.
AI WRITER OR AI SCRIBES: This technique is carried out by AI Writer or AI Scribes in several steps. The AI writer employs natural language processing (NLP) to omit material that is medically relevant and to remove short stories and folders after verbatim transcription of the voice input. As the software listens, transcribes, and summarizes the patient's notes, the doctor and patient can have a natural discussion.
1.1. WORKING OF VOICE RECOGNITION To convert speech to text, speech recognition software typically follows four main processes.
A voice's analogue waves are first transformed into digital data that computers can understand by the use of an analog-to-digital converter.
2. ADVANTAGES OF SPEECH RECOGNITION IN THE HEALTHCARE SECTOR
This information is then divided into smaller sound segments and contrasted with each language's phonemes.
Speech recognition is widely used in the healthcare industry and gives patients the option of receiving care at home. The healthcare sector may gain a lot from the use of speech recognition technologies.
To identify words, phrases, and sentences, the software compares the strings of the chosen phonemes to a database of known words, phrases, and sentences.
The advantages of healthcare include the following:
Following this process of comparison, the computer draws conclusions about what you are saying and
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The use of speech recognition technology as a medical tool and method of communication between healthcare
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