Hybrid Conferencee

International Conference on Speech Recognition using Machine Learning (ICSRML - 26)

10th - 11th December 2026 | Bradford, UK

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Networking with Global Experts:
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Keynote Speaker Sessions:
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Best Paper & Best Paper Presentation Award:
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SDG-Inspired Conference Focus:
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Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 4
SDG 4 Quality Education
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 10
SDG 10 Reduced Inequalities
Track 01

Advancements in Deep Learning for Speech Recognition

This track focuses on the latest developments in deep learning architectures and their applications in speech recognition. Researchers are invited to present innovative approaches that enhance the accuracy and efficiency of speech-to-text systems.

Track 02

Feature Extraction Techniques in Audio Processing

This session will explore novel feature extraction methods that improve the performance of speech recognition systems. Contributions should highlight the impact of these techniques on various audio processing tasks.

Track 03

Neural Networks for Acoustic Modeling

This track aims to discuss the role of neural networks in acoustic modeling for speech recognition. Papers should address advancements in model architectures and their effectiveness in capturing acoustic variations.

Track 04

Language Modeling in Speech Recognition Systems

This session will cover recent innovations in language modeling techniques that enhance speech recognition accuracy. Submissions should focus on statistical and neural approaches to language modeling.

Track 05

Real-Time Recognition and Processing

This track emphasizes the challenges and solutions in achieving real-time speech recognition. Researchers are encouraged to present systems that balance speed and accuracy in dynamic environments.

Track 06

Natural Language Processing for Speech Applications

This session will investigate the integration of natural language processing techniques within speech recognition frameworks. Papers should explore how NLP enhances understanding and context in spoken language.

Track 07

Supervised vs. Unsupervised Learning in Speech Recognition

This track will compare the effectiveness of supervised and unsupervised learning methodologies in speech recognition tasks. Contributions should provide insights into their respective advantages and limitations.

Track 08

Reinforcement Learning in Voice Analytics

This session will delve into the application of reinforcement learning techniques in voice analytics and recognition. Researchers are invited to present novel frameworks that leverage feedback mechanisms for improved performance.

Track 09

Predictive Modeling in Speech Recognition

This track focuses on the use of predictive modeling techniques to enhance speech recognition systems. Papers should discuss methodologies that anticipate user behavior and improve recognition outcomes.

Track 10

Speaker Recognition and Anomaly Detection

This session will explore advancements in speaker recognition technologies and their applications in anomaly detection. Contributions should highlight innovative approaches to identifying and verifying speakers in various contexts.

Track 11

Adaptive Learning Systems for Speech Recognition

This track will examine adaptive learning systems that evolve based on user interactions in speech recognition applications. Researchers are encouraged to present systems that demonstrate improved personalization and accuracy over time.