Low-Latency f0 Estimation for the Finger Plucked Electric Bass Guitar Using the Absolute Difference Function

Audio-to-MIDI conversion can be used to allow digital musical control through an analog instrument. Audio-to-MIDI converters rely on fundamental frequency estimators that are usually restricted to a minimum delay of two fundamental periods. This delay is perceptible for the case of bass notes. In this dissertation, we propose a low-latency fundamental frequency estimation method that relies on specific characteristics of the electric bass guitar. By means of physical modeling and signal acquisition, we show that the assumptions of this method are based on the generalization of all electric basses. We evaluated our method in a dataset with musical notes played by diverse bassists. Results show that our method outperforms the Yin method in low-latency settings, which indicates its suitability for low-latency audio-to-MIDI conversion of the electric bass sound.

Low-Latency f0 Estimation for the Finger Plucked Electric Bass Guitar Using the Absolute Difference Function

Audio-to-MIDI conversion can be used to allow digital musical control by means of an analog instrument. Audio-to-MIDI converters rely on fundamental frequency estimators that are frequently restricted to a minimum delay of two fundamental periods. This delay is perceptible for the case of bass notes. In this paper, we propose a lowlatency fundamental frequency estimation method that relies on specific characteristics of the electric bass guitar. By means of physical modelling and signal acquisition, we show that the assumptions of the method relies on generalize throughout electric basses. We evaluate our method in a dataset with musical notes played by diverse bassists. Results show that our method outperforms the Yin method in low-latency settings, which indicates its suitability for low-latency audio-to-MIDI conversion of the electric bass sound.

Design of Wireless Ambient Air Condition Monitoring System

In the early day of environment monitoring, the measurement is generally done through manual measurement from simple and analog instrument which suffer from the drawbacks like poor accuracy, need of human intervention, associated parallax errors and durability. The rapid development in electronic technology has made reliable integration of smart electronic sensors, processor, and communication device capable of monitoring environmental parameters more favorably. A system for ambient air condition monitoring has been developed as described in this paper. It is based on the embedded system, smart electronic sensor, commercial off-the-shelf (COTS) components, and the terminal monitor by the Graphical User Interface (GUI).

ELECTRICAL ANALOG APPROACH TO DIPMETER COMPUTATION

An electrical analog instrument has been developed to calculate dip and strike from continuous dipmeter logs. The particular model described is designed specifically for the Schlumberger CDM-P, or Poteclinometer, logs and it can be used with hole deviations of up to 36 degrees. Every control on this instrument corresponds to one of the recorded parameters of the dipmeter log. It is thus easy to see the effect of any one parameter on the resolved dip and strike. The instrument is portable and can therefore be used at the well site, if necessary, to make on‐the‐spot decisions regarding further drilling operation after a dipmeter log has been run. No elaborate training in procedure is required. The rapidity with which the computations can be made also permits a larger number of levels to be computed. This frequently results in more accurate information and a considerable saving in computation expense.