A HMM-Based Pitch Tracker for Audio Queries
نویسندگان
چکیده
In this paper we present an approach to the transcription of musical queries based on a hidden Markov model (HMM). The HMM is used to model the audio features related to the singing voice, and the transcription is obtained through Viterbi decoding. We report our preliminary work on evaluation of the system.
منابع مشابه
Source-Filter-Based Single-Channel Speech Separation Using Pitch Information
In this paper, we investigate the source–filter-based approach for single-channel speech separation. We incorporate source-driven aspects by multi-pitch estimation in the model-driven method. For multi-pitch estimation, the factorial HMM is utilized. For modeling the vocal tract filters either vector quantization (VQ) or non-negative matrix factorization are considered. For both methods, the fi...
متن کاملImproving Note Segmentation in Automatic Piano Music Transcription Systems with a Two-State Pitch-Wise HMM Method
Many methods for automatic piano music transcription involve a multi-pitch estimation method that estimates an activity score for each pitch. A second processing step, called note segmentation, has to be performed for each pitch in order to identify the time intervals when the notes are played. In this study, a pitch-wise two-state on/off first-order Hidden Markov Model (HMM) is developed for n...
متن کاملMultipitch tracking using a factorial hidden Markov model
In this paper, we present an approach to track the pitch of two simultaneous speakers. Using a well-known feature extraction method based on the correlogram, we track the resulting data using a factorial hidden Markov model (FHMM). In contrast to the recently developed multipitch determination algorithm [1], which is based on a HMM, we can accurately associate estimated pitch points with their ...
متن کاملA Very Low Latency Pitch Tracker for Audio to MIDI Conversion
An algorithm for estimating the fundamental frequency of a singlepitch audio signal is described, for application to audio-to-MIDI conversion. In order to minimize latency, this method is based on the ESPRIT algorithm, together with a statistical model for partials frequencies. It is tested on real guitar recordings and compared to the YIN estimator. We show that, in this particular context, bo...
متن کاملFast and Accurate: Improving a Simple Beat Tracker with a Selectively-Applied Deep Beat Identification
In music applications, audio beat tracking is a central component that requires both speed and accuracy, but a fast beat tracker typically has many beat phase errors, while an accurate one typically requires more computation. This paper achieves a fast tracking speed and a low beat phase error by applying a slow but accurate beat phase detector at only the most informative spots in a given song...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2003