Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The problem of unsupervised audio segmentation continues to be a challenging research problem which significantly impacts automatic speech recognition (ASR) and spoken document retrieval (SDR) performance.  addresses novel advances in audio segmentation for unsupervised multi-speaker change detection. First,  investigate new features which are intended to be more appropriate for segmentation that include: PMVDR (perceptual minimum variance distortionless response), SZCR ( smoothed zero crossing rate), and FBLC (filterbank log coefficients); next  consider a new distance metric, T/sup 2/-mean which is intended to improve segmentation for short segments (<5s). A novel false alarm compensation procedure is also developed and used after the segmentation phase.  establish a more effective evaluation procedure for segmentation versus the more traditional EER and frame accuracy approaches. Employing these advances within our new scheme, results in more than a 30% improvement in segmentation performance using the 3-hour Hub4 broadcast news 1997 evaluation data. Evaluations are also presented for audio from the NGSW corpus.
['Rongqing Huang', 'John H. L. Hansen']
I am writing a research paper on a idea Advances in unsupervised audio segmentation for the broadcast news and NGSW corpora
[{"from": "human", "value": "I am writing a research paper on a idea Advances in unsupervised audio segmentation for the broadcast news and NGSW corpora"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The problem of unsupervised audio segmentation continues to be a challenging research problem which significantly impacts automatic speech recognition (ASR) and spoken document retrieval (SDR) performance.  addresses novel advances in audio segmentation for unsupervised multi-speaker change detection. First,  investigate new features which are intended to be more appropriate for segmentation that include: PMVDR (perceptual minimum variance distortionless response), SZCR ( smoothed zero crossing rate), and FBLC (filterbank log coefficients); next  consider a new distance metric, T/sup 2/-mean which is intended to improve segmentation for short segments (<5s). A novel false alarm compensation procedure is also developed and used after the segmentation phase.  establish a more effective evaluation procedure for segmentation versus the more traditional EER and frame accuracy approaches. Employing these advances within our new scheme, results in more than a 30% improvement in segmentation performance using the 3-hour Hub4 broadcast news 1997 evaluation data. Evaluations are also presented for audio from the NGSW corpus."}]