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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.