digital-signal-processing

🔊Lecturer: Ivan Beskrovny

🔊Pre-recorded video lectures: see group chat.

🔊Live Q&A sessions: Wednesdays 19:00 GMT+3. Recordings are uploaded afterwards.

Homeworks

All homeworks can be found in "homework" folder.

1st week assignment (deadline - November 2nd) [submit here]

Literature

1. Романюк Ю.А. Основы цифровой обработки сигналов. Учебное пособие. Часть 1. Издание второе, переработанное. М. 2007г.
2. Романюк Ю.А. Дискретное преобразование Фурье в цифровом спектральном анализе. Учебное пособие. М. 2007г.
3. Оппенгейм А., Шафер Р. Цифровая обработка сигналов. Техносфера. Москва 2012 / Digital Signal Processing Alan V. Oppenheim, Ronald W. Schafer
4. Богнер Р., Константинидис А. Введение в цифровую фильтрацию / Пер. с англ.; Под ред. Л.И. Филлипова. М.: Мир, 1976 / Introduction to digital filtering Edited by R. E. Bogner and A. G. Constantinides, Wiley, London, 1975
5. Steven W. Smith. The Scientist and Engineer's Guide to Digital Signal Processing, 1997

Additional materials

VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking

TASNET: TIME-DOMAIN AUDIO SEPARATION NETWORK FOR REAL-TIME, SINGLE-CHANNEL SPEECH SEPARATION

IMPROVING SPEAKER DISCRIMINATION OF TARGET SPEECH EXTRACTION WITH TIME-DOMAIN SPEAKERBEAM

Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation

FRAME-BY-FRAME CLOSED-FORM UPDATE FOR MASK-BASED ADAPTIVE MVDR BEAMFORMING

Time-of-Arrival Estimation for Blind Beamforming

Fundamentals of Acoustic Beamforming

What Is Signal-to-Noise Ratio and Why Does It Matter?

SDR – HALF-BAKED OR WELL DONE?

Modified bark spectral distortion measure which uses noise masking threshold

ENHANCED MODIFIED BARK SPECTRAL DISTORTION (EMBSD): AN OBJECTIVE SPEECH QUALITY MEASURE BASED ON AUDIBLE DISTORTION AND COGNITION MODEL

Perceptual evaluation of speech quality (PESQ): An objective method for end-to-end speech quality assessment of narrow-band telephone networks and speech codecs

ATTENTION IS ALL YOU NEED IN SPEECH SEPARATION

Conformer: Convolution-augmented Transformer for Speech Recognition