1	LyricAlly: Automatic Synchronization of Acoustic Musical Signals and Textual Lyrics Ye Wang, Min Yen Kan, Tin Lay Nwe, Arun Shenoy, Jun Yin
2	Introduction Motivation Is singing voice transcription really necessary ? Speech recognizers cannot be directly deployed Availability of music lyrics on the internet
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4	"Bryan Adams – Back to..." Bryan Adams – Back to you
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13	"Chorus sections detected by high..." Chorus sections detected by high level of repetition. Accounts for phoneme, word and line level repetition.
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16	"Observation : Gaps between sections..." Observation : Gaps between sections are shorter and more stable as compared to the sections themselves
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20	"LYRCIALLY SYSTEM DEMO" LYRCIALLY SYSTEM DEMO
21	"Starting point calculation more difficult..." Starting point calculation more difficult than duration estimation
22	"Decreasing order of criticality:" Decreasing order of criticality:
23	"Line level alignment of text..." Line level alignment of text and musical audio Text is crucial for duration estimation Rhythm detection can inform downstream components Accuracy of chorus detection is vital Vocal detection model uses training based approach For real-time performance: need to explore alternative vocal detection models
24	"GENERAL" GENERAL Limitation - 4/4 Meter, V₁-C₁-V₂-C₂-B-O Future Work – alternate meter and song structure AUDIO Limitation – MM-HMM Optimal Classifier ? Future Work - mixture modeling or classifiers like SVM and NN Limitation – Restricted to percussive audio Future Work – new approach to drumless rhythm detection TEXT Limitation – Phoneme duration estimation independent of tempo Future Work – Tempo information re-estimation