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VOICE RECOGNITION#1

The technology that enables a computer to identify and process human speech into text.

SPEECH RECOGNITION#2

A subset of voice recognition focused specifically on converting spoken language into text.

NATURAL LANGUAGE PROCESSING (NLP)#3

A field of AI that enables machines to understand and interpret human language.

MACHINE LEARNING#4

A branch of AI that uses algorithms to allow computers to learn from data and improve over time.

TOKENIZATION#5

The process of breaking down text into smaller units, such as words or phrases, for analysis.

HIDDEN MARKOV MODEL (HMM)#6

A statistical model used in speech recognition to represent systems with hidden states.

NEURAL NETWORKS#7

Computational models inspired by the human brain, used for recognizing patterns in data.

ACCURACY METRICS#8

Quantitative measures used to evaluate the performance of voice recognition systems.

PRECISION#9

The ratio of true positive results to the total number of positive predictions made by the model.

RECALL#10

The ratio of true positive results to the total number of actual positives in the dataset.

F1 SCORE#11

A harmonic mean of precision and recall, providing a balance between the two metrics.

EVALUATION METHODS#12

Techniques used to assess the performance of machine learning models, including cross-validation.

DATA PREPROCESSING#13

The steps taken to clean and prepare data for analysis, crucial for effective model training.

FEATURE EXTRACTION#14

The process of transforming raw data into a format that can be effectively used by machine learning algorithms.

APPLICATION PROGRAMMING INTERFACE (API)#15

A set of rules that allows different software entities to communicate with each other.

USER INTERFACE (UI)#16

The space where interactions between humans and machines occur, crucial for usability.

DEVELOPMENT ENVIRONMENT#17

A set of tools and software used for developing applications, including code editors and libraries.

REAL-WORLD APPLICATIONS#18

Practical uses of technology in various industries, showcasing its relevance and impact.

ACCESSIBILITY TECHNOLOGY#19

Tools and applications designed to improve access for individuals with disabilities.

VIRTUAL ASSISTANTS#20

AI systems that perform tasks or provide services through voice commands, like Siri or Alexa.

CROSS-VALIDATION#21

A technique for assessing how the results of a statistical analysis will generalize to an independent dataset.

DATASET#22

A collection of data used for training and testing machine learning models.

PROTOTYPING#23

The process of creating a preliminary model of an application to test concepts and functionalities.

DEPLOYMENT STRATEGIES#24

Plans and methods for releasing a software application to users.