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Key Features of Speech Recognition
Modern speech recognition systems rely on Artificial Intelligence (AI) and Machine Learning (ML) to understand and
analyse human speech. They study the grammar, structure, and sound patterns of voice signals and improve with
experience, becoming more accurate over time.

Advanced systems also allow businesses to customise and adapt the technology to their specific needs, such as
recognising certain accents, languages, or industry terms. Some important features include:
u Language weighting: Improves accuracy by giving more importance to commonly used words, such as product
names or technical terms.
u Speaker labelling: Identifies different speakers in group conversations and tags their parts in the transcript.
u Acoustic training: Helps the system adjust to variations in voice pitch, tone, loudness, and background noise.

u Profanity filtering: Detects and removes inappropriate words or phrases.
Speech recognition technology continues to evolve, with companies like IBM, Google, and Microsoft leading
advancements that make human–machine communication more natural and effective.

Information Retrieval (IR) through Search Engine

Consider you're researching "advantages of solar power" for a renewable energy project and searching on Google.
Within seconds, you receive hundreds of links to research papers, articles, and videos. The search engine, powered by
an Information Retrieval (IR) system, understands your query and ranks the most relevant results, sparing you from
manually sifting through each document.
Information Retrieval (IR) refers to the process of efficiently locating specific information from a vast amount of data
on the Internet. IR systems are designed to find, retrieve, and display information that matches a user's query or
information need.

The most common way people access information is through search engines, which are used by billions of individuals
daily. IR systems facilitate search by tapping into a growing pool of resources, such as documents, metadata, and
databases containing text, images, videos, and audio. To handle these diverse sources, IR systems employ a variety of
models, algorithms, and advanced techniques.

Introduction and State of Art of AI, Natural Language Processing (NLP), and Potential use of AI 99