Published Mar 23, 2020

Speech recognition to say it just right

Catherine Breslin delves into the vast applications and design challenges of speech recognition technology, from enhancing accessibility and transcription to refining virtual assistants' conversational abilities and tackling noise and accent variability for improved system performance.

Episode Highlights

Topics covered

Episode Highlights

Related Episodes

25 years of speech technology innovation
Answers 383 questions
Speech tech and Common Voice at Mozilla
Answers 383 questions
The first real-time voice assistant
Answers 383 questions
Next-gen voice assistants
Answers 383 questions
NLP for the world's 7000+ languages
Answers 383 questions
Real-time conversational insights from phone call data
Answers 383 questions
Explaining AI explainability
Answers 383 questions
Democratizing ML for speech
Answers 383 questions
AI adoption in the enterprise
Answers 383 questions
Exploring a new AI lexicon
Answers 383 questions
Cloning voices with Coqui
Answers 383 questions
IBM's AI for detecting neurological state
Answers 383 questions
The new AI app stack
Answers 383 questions
Ask us anything (about AI)
Answers 383 questions
The ins and outs of open source for AI
Answers 383 questions

Dexa/Practical AI

Speech recognition to say it just right

Topics covered

Popular Clips

Speech Recognition Challenges

Accent Impact

Future of Speech Technology

Speech Technology Insights

Speech Recognition Breakdown

Speech Technology Landscape

Speaker Segmentation

AI Insights

Speech Recognition Applications

Accelerating Speech Recognition

Conversational AI Components

Journey into Speech

Neural Network Models

Episode Highlights

Speech Technology Applications

Virtual Assistant Design

Speech Recognition Fundamentals

Related Episodes

25 years of speech technology innovation

Speech tech and Common Voice at Mozilla

The first real-time voice assistant

Next-gen voice assistants

NLP for the world's 7000+ languages

Real-time conversational insights from phone call data

Explaining AI explainability

Democratizing ML for speech

AI adoption in the enterprise

Exploring a new AI lexicon

Cloning voices with Coqui

IBM's AI for detecting neurological state

The new AI app stack

Ask us anything (about AI)

The ins and outs of open source for AI

Speech recognition to say it just right

Topics covered

Popular Clips

Episode Highlights

Speech Technology ApplicationsCatherine Breslin explores the broader applications of speech recognition technology beyond virtual assistants. She discusses its role in transcription, accessibility, and the challenges posed by noise and speaker variability.

Speech Technology Applications

Virtual Assistant DesignCatherine Breslin from Cobalt shares insights on the intricacies of designing virtual assistants. She highlights the challenges and advancements in managing conversations and understanding user intents.

Virtual Assistant Design

Speech Recognition FundamentalsCatherine Breslin explores the intricate components and challenges of speech recognition technology. She explains how lexicons, acoustic models, and language models work together, and addresses issues like noise and accents that impact system performance.

Speech Recognition Fundamentals

Related Episodes