PhD Guidance in Audio, Speech and Language Processing

PhD Guidance in Audio, Speech and Language Processing is our interesting area working by our top experts who can give the best guidance for students in this area. Our world-class expert’s help our students develop audio, speech, and language processing projects and assist in their future research. Day-by-day variety of new techniques and technologies are discovered by our experts, which give more benefits to carry our students innovatively. Just think about what audio, speech, and language processing are and what about the current research on it.

–“Audio, Speech and Language Processing is a dedicated research area that covers various research fields, including Digital Signal Processing, Information Theory and encoding and decoding on FPGA etc.”.

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Current Trends in Audio, Speech and Language Processing

Quadratic programming approach for global inverse filtering
Multi speaker LCMV Beamformer
Multi post filter for source separation
Steganalysis of QIM Steganography
Classification based pitch estimation for robust harmonic features
Deep neural networks for multi-channel signal processing

Audio, Speech and Language Processing

PhD Guidance in Audio, Speech and Language Processing is our research program that covers all your needs. When developing simple projects in Audio, Speech, and Language Processing is an easier one, when it comes to research-based projects, we need to put effort into it. But we are here for that; we will make your projects will small efforts with great innovation.

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Advanced Technologies in Audio, Speech and Language Processing

Natural language processing in machine learning
Machine translation and multi linguality
Cognitive modeling and psycholinguistics
Interactive and dialog systems
Pragmatics and discourse
Information extraction and question answering
Text mining and content mining
Phonology and morphology
Opinion mining and sentiment analysis
Speech and social media
Text and speech summarization
Tagging, syntax, chunking and parsing
Interactive and dialog systems
Semantics analysis

Development of Tools and Software’s

HTK
iSpeech
e-speaking
Sphinx
CSLU toolkit
LumenVox ASR
Simon
Kinect SDK
Matlab
OpenNLP
Sail Align
ISSE
LibriSpeech ASR corpus
TED-LIUM Corpus
AaltoASR
Barista
CMU Sphinx
Juicer
OpenDCD
SCARF
KALDI LSTM

Purpose of Tools and Software’s

HTK: Hidden Markov Model also based Speech Recognition Toolkit to process audio-visual speech recognition.
iSpeech: Open source API for converting text to speech and also it is also used for speech recognition SDK.
E-speaking: Voice recognition or speech recognition software that used .NET software libraries for voice command and also control solution
CMU Sphinx: Open source toolkit written in C++ and it is also modifiable recognizer written in java that can be also used for speech recognition.
CSLU toolkit: Set of tools that enable users to explore learning and research into human computer interface and also speech recognition.
LumenVox ASR: LumenVox Automated Speech Recognizer software that supports also for text to speech conversion.
Simon: Open source speech recognition software also for easy to use user interface.
Kinect SDK: Windows app development toolkit that also used for gesture and voice identification.

Major Tools and Software’s – Matlab: Programming software used for speech recognition, voice recognition, and pattern recognition.

OpenNLP: Open source natural language processing tool also for linguistic signal annotation, and time series data analysis.
Sail Align: Open source software toolkit also for implementing robust adaptive speech-text alignment
ISSE: Open source and also freely available interactive source separation editor/cross platform editing tool to perform source separation using on-time frequency visualization.
LibriSpeech ASR corpus: Corpus is also dataset which consist English speech of 1000 hours of 16KHZ
TED-LIUM Corpus: Comprised of 774 audio talks also with the total duration of 118 hours with 4 min.
AaltoASR: Suite of Aalto Automatic speech recognition tools
Barista: Framework which is freely available and also open source for concurrent speech processing
Kaldi-nnet-dur-model: Works on top of the kaldi speech recognition framework that also used to model the neural network phone duration.
Juicer: Weighted Finite State Transducer also based decoder that recognize automatic speech users
OpenDCD: Open source weighted state transducer based decoder also for speech recognition.
SCARF: Segmental toolkit also for doing research on segmental conditional random fields with speech recognition.
KALDI LSTM: LSTM C++ implementation that also used for language modeling and automatic speech recognition.

Major Research Topics in Audio, Speech and Language

Epoch Extraction
Speech enhancement
Sound field imaging
Machine translation
Audio Indexing
Speech Prosody
Language modeling
Filtering optimization
Document Summarization
Spoken Document Retrieval
Automatic Speech Recognition
Spatial Sound Acquisition
Entity detection and tracking
Natural language analysis and processing
Pattern analysis and also machine learning
Audio-visual speech processing
Affective computing
Augmented and also virtual reality
Multimedia processing
Automatic language identification
Multichannel signal processing
Multimodal synthesis and also analysis
Human machine interaction applications
Feature extraction and also signal processing
Linguistic processing and also corpus linguistics

Recent Research Topics

Speaker verification systems
Security systems and also forensic speech investigations
Speaker diarization and also identification
Speech-analytics and also mining audio
Speech de-reverberation
Language and also speech resources
Voice pathologies and also speech disorders
Speech driving systems also for robotics
Speech-perception and also enhancement
Speech translation automatic systems
Speech-understanding and also recognition
Spoken language processing and also dialogue systems
Sentiment analysis and also text mining
Speech-to-text systems and also text-to-speech systems