Intro to Speech recognition - AI Facebook Devc Nairobi Master class

The speech recognition aims at understanding
and comprehending WHAT was spoken.
It is used in hand-free computing, map, or menu navigation.
Different from Voice recognition (It is used to identify a person by analyzing its tone, voice pitch, and accent)

Transcript

1. VOICE ENABLED APPS – SPEECH RECOGNITION AI MASTER CLASSE FACEBOOK DEVC NAIROBI
2. 2 Intro • The speech recognition aims at understanding and comprehending WHAT was spoken. • It is used in hand-free computing, map, or menu navigation. • Diferent from Voice recognition (It is used to identify a person by analyzing its tone, voice pitch, and accent)
3. 3 Concepts • Agents: agents are applications. We create an agent as a means of grouping individual entities and intents. • Entities – entities are custom concepts that we want to incorporate into our application. They provide a way of giving meaning to a specifc concept by means of adding examples. A sample entity would be ‘currency’. We defne it by adding synonyms such as ‘USD’, ‘US Dollar’, or just ‘Dollars’. Each synonym is then assigned to a reference value that can be used in the code.
4. 4 Concepts (Ctd.) • Intents – intents allow us to defne which actions the program will execute depending on what a user says. A sample intent would be ‘convert currency’ • Contexts – contexts represent the current context of a user expression.
5. 5 Why Speech Recognition is so Difficult Intra-speaker variability Noise/reverberation Coarticulation Context-dependency Word confusability Word variations Speaker Dependency Multiple Interpretations Limited vocabulary Ellipses and Anaphors
6. 6 Refs • https://pythonspot.com/en/speech-recognition- using-google-speech-api/ • https://dialogfow.com/