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This article investigates the application of NMF for an automatic transcription task.
The experimental results confirm the potential of TM PSO in polyphonic transcription task.
We conducted experiments on the Switchboard-1 corpus which is an English conversational telephone speech transcription task.
In this article, we proposed a new strategy to tackle the three limitations of standard NMF in the polyphonic transcription task.
For example, [52] provides a detailed investigation of the various front-end techniques for DNN-HMM acoustic models in the AMI meeting transcription task.
In the transcription task, the precision and recall measures are equally important since it is undesirable to have a system with high precision but poor recall (or vise versa).
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Incremental adaptation is an alternative to the batch-mode approach used for offline transcription tasks.
The Bayesian approach is one of the most popular techniques for polyphonic transcription tasks.
However, it can also be used for the evaluation of regular transcription tasks, since the mistakes are carefully annotated.
The MIREX quartet [10] is also an important dataset, used as a development set in polyphonic transcription tasks.
The general models that relate physical characteristics of a signal to auditory sensations were also discussed, as well as the specific transcription tasks that are dealt with by most AMT systems.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com