Mirror Mirror Relativity
Can you see your image when you are travelling at the speed of light?
Visitors and students are requested to respond and answer via comments.
Einstein’s Theory of relativity says:”The Laws of Physics are the same in any Inertial Frame of Reference.”
Categories: Interdisciplinary physics, Interesting Questions, mirror mirror, Relativity, Research Tags: image, image formation, mirror, mirror mirror, relativity
How does the size of the bulb in thermometers affect the range and sensitivity of the thermometer?
Do you have an answer? Please feel free to post your answer. We’ll elaborate it after receiving your responses as comments Related posts:Science Physics Project Links Related posts:Science Physics Project Links
Categories: Physics Links, Research, thermometer Tags: BULB, links, Physics, physics project, range, science physics, sensitivity, thermometer, thermometers
Carbon Nanotubes to Store Solar Energy
MIT Researchers have developed a new solar thermal fuel that could store up to 10,000 times more energy than previous systems. The fuel consits os CNT modified with azobenzene. The finding is still in development stage. Read more details at http://phys...
Categories: Carbon Nanotube, Research Tags: CNT, nanotechnology, Physics, recent
Amateur Research
Ask Physics is looking for students from Kendriya Vidyalayas of Kerala who are interested in doing Research in any branch of Science.
If interested, Use the link below to express your interest.
You will be contacted by the concerned official.
Click Here to express your interest.
Latest Research Publications of interest – NISCAIR
Performance analysis of voice activity detection algorithm for robust speech recognition system under different noisy environment
Authors:
Babu, C Ganesh
Vanathi, P T
Ramachandran, R
Rajaa, M Senthil
Vengatesh, R
Abstract:
This study evaluates performance of objective measures in terms of predicting quality of noisy input speech signal using voice activity detection (VAD). Implementation process includes a speech-to-text system using isolated word recognition with a vocabulary of 10 words (digits 0-9) and statistical modeling (Hidden Markov Model – HMM) for machine speech recognition. In training period, uttered digits were recorded using 8-bit pulse code modulation (PCM) with a sampling rate of 8 KHz and save as a wave format file using sound recorder software. HMM performs speech analysis using linear predictive coding (LPC) method of degree. For a given word in vocabulary, system builds an HMM model and trains model during training phase. Training steps from VAD to HMM model building are performed using PC-based Matlab programs. Current framework uses automatic speech recognition (ASR) with HMM based classification and noise language modeling to achieve effective noise knowledge estimation.
