Speech Recognition and Audio Processing with Deep Learning Course

Explore deep learning techniques for speech recognition and audio processing, enhancing your skills in developing intelligent audio-driven applications.

Artificial Intelligence and Machine Learning Courses Confirmed

Training Locations

This Speech Recognition and Audio Processing with Deep Learning Course is available in multiple cities. Please select your preferred location from the list below

Durrës

Albania

Tirana

Albania

Andorra la Vella

Andorra

Escaldes-Engordany

Andorra

Innsbruck

Austria

Salzburg

Austria

Vienna

Austria

Gomel

Belarus

Minsk

Belarus

Antwerp

Belgium

Brussels

Belgium

Banja Luka

Bosnia and Herzegovina

Sarajevo

Bosnia and Herzegovina

Plovdiv

Bulgaria

Sofia

Bulgaria

Dubrovnik

Croatia

Split

Croatia

Zagreb

Croatia

Limassol

Cyprus

Nicosia

Cyprus

Brno

Czech Republic

Prague

Czech Republic

Aarhus

Denmark

Copenhagen

Denmark

Tallinn

Estonia

Tartu

Estonia

Helsinki

Finland

Tampere

Finland

Lyon

France

Marseille

France

Nice

France

Paris

France

Berlin

Germany

Frankfurt

Germany

Hamburg

Germany

Munich

Germany

Athens

Greece

Thessaloniki

Greece

Budapest

Hungary

Debrecen

Hungary

Akureyri

Iceland

Reykjavík

Iceland

Cork

Ireland

Dublin

Ireland

Florence

Italy

Milan

Italy

Naples

Italy

Rome

Italy

Pristina

Kosovo

Prizren

Kosovo

Liepāja

Latvia

Riga

Latvia

Schaan

Liechtenstein

Vaduz

Liechtenstein

Kaunas

Lithuania

Vilnius

Lithuania

Esch-sur-Alzette

Luxembourg

Luxembourg City

Luxembourg

St. Julian's

Malta

Valletta

Malta

Bălți

Moldova

Chișinău

Moldova

La Condamine

Monaco

Monte Carlo

Monaco

Budva

Montenegro

Podgorica

Montenegro

Amsterdam

Netherlands

Rotterdam

Netherlands

The Hague

Netherlands

Ohrid

North Macedonia

Skopje

North Macedonia

Bergen

Norway

Oslo

Norway

Gdańsk

Poland

Kraków

Poland

Warsaw

Poland

Faro

Portugal

Lisbon

Portugal

Porto

Portugal

Bucharest

Romania

Cluj-Napoca

Romania

City of San Marino

San Marino

Serravalle

San Marino

Belgrade

Serbia

Novi Sad

Serbia

Bratislava

Slovakia

Košice

Slovakia

Bled

Slovenia

Ljubljana

Slovenia

Barcelona

Spain

Madrid

Spain

Valencia

Spain

Gothenburg

Sweden

Stockholm

Sweden

Bern

Switzerland

Geneva

Switzerland

Zurich

Switzerland

Kyiv

Ukraine

Lviv

Ukraine

Odesa

Ukraine

Dubai

United Arab Emirates

Birmingham

United Kingdom

Edinburgh

United Kingdom

London

United Kingdom

Manchester

United Kingdom

Rome (Vatican-adjacent)

Vatican City

Training Outlines

Introduction

This 5-day professional course on "Speech Recognition and Audio Processing with Deep Learning" is designed to equip participants with a comprehensive understanding of how deep learning techniques can be applied to speech and audio processing tasks. The course will cover key concepts, methods, and tools for building effective speech recognition and audio processing systems using deep learning. Attendees will learn from theoretical foundations to practical applications, including hands-on sessions for implementing deep learning models in real-world scenarios.

Objectives

Understand the fundamentals of audio processing and speech recognition.
Explore deep learning models and architectures for audio analysis.
Gain practical skills in implementing speech recognition systems using deep learning.
Learn to preprocess and augment audio data for model training.
Evaluate and optimize deep learning models for improved performance.

Course Outlines

Day 1: Introduction to Speech Recognition and Audio Processing

Overview of audio processing and speech recognition
Key challenges and opportunities in the field
Introduction to deep learning concepts
Historical perspective and evolution of speech recognition
Overview of essential tools and libraries

Day 2: Audio Data Preprocessing and Feature Extraction

Understanding audio signals and formats
Techniques for audio preprocessing
Feature extraction methods like MFCCs and spectrograms
Data augmentation techniques for audio
Hands-on session with Python and audio libraries

Day 3: Deep Learning Architectures for Audio

Recurrent Neural Networks (RNNs) for sequence modeling
Convolutional Neural Networks (CNNs) for audio classification
Hybrid models combining RNNs and CNNs
Introduction to Transformers for audio processing
Implementing basic deep learning models for audio tasks

Day 4: Building and Training Speech Recognition Models

Deep learning frameworks for speech recognition
Building end-to-end speech recognition systems
Understanding and implementing CTC loss
Model training and hyperparameter tuning
Practical session: training a speech recognition model

Day 5: Evaluation, Optimization, and Deployment

Evaluating model performance and accuracy
Techniques for model optimization and compression
Real-time processing and deployment considerations
Overview of tools and platforms for model deployment
Capstone project: deploying a speech recognition application

Training Schedule

Below is the table of cities along with the respective dates for the upcoming training sessions of Speech Recognition and Audio Processing with Deep Learning Course. Please review the schedule to find the most convenient option for you. You can also use the below search bar to type the city name and filter the results.