Call For Papers
The ICSRML aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.
The conference highlights advancements in Machine Learning, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.
Authors are invited to submit papers addressing, but not limited to, the following areas:
- Speech recognition advancements using ML
- Natural language understanding in speech systems
- Voice biometrics and security applications
- Speech synthesis techniques with machine learning
- Real-time speech recognition challenges
- Machine learning for emotion recognition in speech
- Applications of speech recognition in healthcare
- Speech recognition for assistive technologies
- Multilingual speech recognition systems
- Deep learning for acoustic modeling
- Speech recognition in noisy environments
- Integration of NLP and speech recognition
- Speech recognition for customer service automation
- Ethics in speech recognition technologies
- Machine learning for speaker identification
- Speech recognition in smart devices
- Challenges in deploying speech recognition systems
- Future trends in speech recognition research
- Data privacy in speech recognition applications
- Machine learning for transcription services
Assessment
Submissions will be assessed for originality, innovation, and relevance. Accepted papers will be presented at the conference and considered for publication opportunities in reputed academic platforms.
Registration
Participants are requested to complete the registration process following acceptance of their paper. Registration ensures inclusion in the conference schedule and official records.
Publication
All accepted manuscripts will be eligible for publication consideration in conference proceedings and associated academic journals.