学术交流英语final Presentation

A Transcript for a Conference Paper Presentation Slide 1 (Title):

Time: 35 seconds (0:00-0:35)

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Good morning! My major is electric engineering. My research field is signal and information processing. The topic I concern is about speech enhancement. Today I will give a presentation with the title “A Two-stage Beamforming Approach for Noise Reduction and Dereverberation”. This work is done by Habets and Benesty from University of Quebec, Montreal, Canada.

Slide 2 (Introduction)

Time: 55 seconds (0:35-1:30)

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First, I will give a brief introduction of microphone arrays and make you have a preliminary

understanding of the research problem. Simply, when you place several microphones according to certain geometric shapes, you get a microphone array. Here is a liner array and a circle array is also general. Let’s take this picture as an example. There is a noise source at the location of the star. When the girl speaks, her sound will get captured by all microphones. In the same time, received signals are polluted by the undesired noise and we can’t have the clean speech.

Slide 3 (Introduction)

Time: 55 seconds (1:30-2:25)

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So, we need do something to solve this problem. In this slide, the background and significance of speech denosing and dereverberation are introduced. In many applications, such as speech recognition and teleconferencing, we need distant or hand-free audio acquisition. However, in many cases, we just receive a noise corrupted or reverberant version of desired speech signals. To achieve high-quality human-to-human or human-to-machine speech communication, we need to develop efficient noise reduction and dereverberation algorithms. Microphone arrays can be very useful in these situation.

Slide 4 (Body)

Time: 50 seconds (2:25-3:05)

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First, we can use beamforming for the microphone arrays during the processing of received signals. What is the beamforming? Here are its definition and working principle. Beamforming is a signal processing technique that applies microphone arrays for directional signal transmission or reception. By operating on received multichannel signals, beamforming allows us to recover signals from a particular direction and suppress noise signals from undesired directions. This technique is so called “beamforming”.

Slide 5 (Body)

Time: 45 seconds (3:05-3:55)

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In this paper, we use beamforming to achieve noise reduction and dereverberation. Noise reduction is important since noise is everywhere around us. Some common noise includes