This document defines the Opus interactive speech and audio codec. Opus is designed to handle a wide range of interactive audio applications, including Voice over IP, videoconferencing, in-game chat, and even live, distributed music performances. It scales from low bitrate narrowband speech at 6 kbit/s to very high quality stereo music at 510 kbit/s. Opus uses both Linear Prediction (LP) and th...

In this paper we propose a hybrid system that bridges the gap between traditional image processing methods, used for low-level object recognition, and abductive constraint logic programming used for high-level musical interpretation. Optical Music Recognition (OMR) is the automatic recognition of a scanned page of printed music. All such systems are evaluated by their rate of successful recogni...

In this paper we propose a hybrid system that bridges the gap between traditional image processing methods, used for low-level object recognition, and abductive constraint logic programming used for high-level musical interpretation. Optical Music Recognition (OMR) is the automatic recognition of a scanned page of printed music. All such systems are evaluated by their rate of successful recogni...

Speech not only transmits semantic information through words and syntax, but also provides cues to a talker’s identity. Differences in a listener’s ability to recognize voices can be attributed to their language background, and in rare cases voice recognition can be selectively damaged in neurological patients. In this study we investigated a group of KoreanEnglish bilinguals and non-Korean spe...

In this paper we propose a hybrid system that bridges the gap between traditional image processing methods, used for low-level object recognition, and abductive constraint logic programming used for high-level musical interpretation. Optical Music Recognition (OMR) is the automatic recognition of a scanned page of printed music. All such systems are evaluated by their rate of successful recogni...

In this paper, we propose a machine learning model for voice separation in lute tablature. Lute tablature is a practical notation that reveals only very limited information about polyphonic structure. This has complicated research into the large surviving corpus of lute music, notated exclusively in tablature. A solution may be found in automatic transcription, of which voice separation is a ne...

Both music and love are conspicuously absent from the public soundscapes of Hargeysa, Somaliland. But behind closed doors, people listen to songs. In doing so, these lonely sufferers hopefuls make sense various challenges. Using accounts a cross section Somalilanders, I show that solitary listening practices open into uniquely intimate transformative opportunities for dareen-wadaag (feeling sha...

Music is closely related to human life and an important way for people express their feelings in life. Deep neural networks have played a significant role the field of music processing. There are many different network models implement deep learning audio For general networks, there problems such as complex operation slow computing speed. In this paper, we introduce Long Short-Term Memory (LSTM...

Automatic music transcription from audio has long been one of the most intriguing problems and a challenge in the field of music information retrieval, because it requires a series of low-level tasks such as onset/offset detection and F0 estimation, followed by high-level post-processing for symbolic representation. In this paper, a comprehensive transcription system for monophonic singing voic...