A Comprehensive View of Automatic Speech Recognition System - A Systematic Literature Review
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- Type
- article
- Published
- 2019-04-01
- Cited by
- 22
- References
- 31
- OpenAlex
- https://openalex.org/W2964829415
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:199059177
Keywords
Computer science, Speech recognition, Speech processing, Speech analytics, Audio mining
References
- Continuous Hindi Speech Recognition using Monophone based Acoustic Modeling
- SPONTANEOUS SPEECH RECOGNITION FOR ROMANIAN IN SPOKEN DIALOGUE SYSTEMS
- Dynamic Programming Algorithms in Speech Recognition
- Recent progress in spontaneous speech recognition and understanding
- Emotion Recognition Using Neural Network: A Comparative Study
- Robust methods in automatic speech recognition and understanding
- Emotion recognition from spontaneous Slavic speech
- Improving Robustness of Deep Neural Network Acoustic Models via Speech Separation and Joint Adaptive Training
- Improving spontaneous English ASR using a joint-sequence pronunciation model
- Automatic Speech Recognition: A Review
- Automatic recognition and understanding of spoken language - a first step toward natural human-machine communication
- Improved Recognition of Spontaneous Hungarian Speech—Morphological and Acoustic Modeling Techniques for a Less Resourced Task
- Learning Sub-Word Units for Open Vocabulary Speech Recognition
- A new ASR evaluation measure and minimum Bayes-risk decoding for open-domain speech understanding
- Developing high performance asr in the IBM multilingual speech-to-speech translation system
- Can automatic speech recognition be satisficing for audio/video search? Keyword-focused analysis of Hebrew automatic and manual transcription
- Speech emotion recognition using deep neural network and extreme learning machine
- Discriminative data selection for lightly supervised training of acoustic model using closed caption texts
- Speech Recognition System Architecture for Gujarati Language
- Modeling of Pronunciation, Language and Nonverbal Units at Conversational Russian Speech Recognition
Cited by
- Learning in Summer Camp with Social Robots: A Morphological Study
- Moving towards a General Metadata Extraction Solution for Research Data with State-of-the-Art Methods
- Exploration of diverse intelligent approaches in speech recognition systems
- Accent based speech recognition: A critical overview
- Adversarial Example Devastation and Detection on Speech Recognition System by Adding Random Noise
- A novel deep transfer learning models for recognition of birds sounds in different environment
- Assessing Pain Research: A Narrative Review of Emerging Pain Methods, Their Technosocial Implications, and Opportunities for Multidisciplinary Approaches
- Analysis of transcription tools for Brazilian Portuguese with focus on disfluency detection
- An automatic speech recognition system in Indian and foreign languages: A state-of-the-art review analysis
- Machine and Deep Learning Classifiers for Indic Scripts Recognition: Challenges and Research Perspective
- An Automatic Speech Recognition System: A systematic review and Future directions
- HANNA: Human-friendly provisioning and configuration of smart devices
- Crossing language identification: Multilingual ASR framework based on semantic dataset creation & Wav2Vec 2.0
- Comparing The Fine-Tuning and Performance of Whisper Pre-Trained Models for Turkish Speech Recognition Task
- A Comprehensive Analysis of Speech Recognition Systems in Healthcare: Current Research Challenges and Future Prospects
- Advancements in Speech Recognition: Exploring Feature Extraction Techniques for Enhanced Accuracy and Human-Machine Communication
- Bilingual Speech Recognition for Taiwanese Hokkien and Mandarin: Computational Intelligence in Complex Acoustic Environments
- Automatic Running Notes Generation from Audio Lecture using NLP for Comprehensive Learning
- Development of an Automatic Speech Recognition System for Irula Language: A Machine Learning Approach
- “It feels like we're not meeting the criteria”: Examining and Mitigating the Cascading Effects of Bias in Automatic Speech Recognition in Spoken Language Interfaces.
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