Stress plays a crucial role in the understanding of speech by human listeners. However, automatic speech recognition results deteriorate in the presence of stress due to the change it causes in the speech parameters. Meanwhile, due to the vast diversity of the presence of stress in speech, a speech corpus that contains the majority of different stress conditions is difficult to obtain in real w...

The effectiveness of single threshold IDDQ measurement for defect detection is eroded owing to higher and more variable background leakage current in modern VLSIs. Delta IDDQ is identified as one alternative for deep submicron current measurements. Often delta IDDQ is coupled with voltage and thermal stress in order to accelerate the failure mechanisms. A major concern is the IDDQ limit setting...

It is well known that the performance of speech recognition algorithms degrade in the presence of adverse environments where a speaker is under stress, emotion, or Lombard effect. This study evaluates the effectiveness of traditional features in recognition of speech under stress and formulates new features which are shown to improve stressed speech recognition. The focus is on formulating robu...

Water being an essential component for plant growth and development, its scarcity poses serious threat to crops around the world. Climate changes and global warming are increasing the temperature of earth hence becoming an ultimate cause of water scarcity. It is need of the day to use potential soil amendments that could increase the plants' resistance under such situations. Biochar and gypsum ...

The objective of this work is to conduct a speech recognition study and evaluate the performance of the same under stressed condition. The speech recognition study is conducted both in isolated word recognition and keyword spotting approaches. The word models are built during training using speech collected from neutral condition. During testing these models are tested with speech signals colle...

It is well known that the performance of speech recognition algorithms degrade in the presence of adverse environments where a speaker is under stress, emotion, or Lombard e ect. This study evaluates the e ectiveness of traditional features in recognition of speech under stress and formulates new features which are shown to improve stressed speech recognition. The focus is on formulating robust...