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TOWARDS MORPHOLOGICAL SOUND DESCRIPTION USING SEGMENTAL MODELS
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.320.4168#:~:text=Abstract%20We%20present%20an%20approach%20to%20model%20the,primitives%2C%20constituted%20by%20a%20set%20of%20user-defined%20trajectories.
(PDF) Segmental Modeling for Audio Segmentation
https://www.researchgate.net/publication/4249182_Segmental_Modeling_for_Audio_Segmentation
Segmental Modeling for Audio Segmentation. May 2007; Acoustics, Speech, and Signal Processing, 1988. ... a method for speech/non-speech segmentation based on segmental modeling was introduced ...
(PDF) Modeling and segmentation of audio descriptor ...
https://www.academia.edu/8583498/Modeling_and_segmentation_of_audio_descriptor_profiles_with_segmental_models
A segmental model state emits an observation sequence, which assembled together to model elements of a musical vocabulary be- distribution is also conditioned on segment duration ln . fore presenting the evaluation procedure.
Modeling and segmentation of audio descriptor profiles ...
https://www.sciencedirect.com/science/article/pii/S0167865509003067
We present a method to model sound descriptor temporal profiles using segmental models. Unlike standard HMM, such an approach allows for the modeling …
Modeling and segmentation of audio descriptor profiles ...
https://www.sciencedirect.com/science/article/abs/pii/S0167865509003067
Modeling and segmentation of audio descriptor profiles with segmental models. ... Abstract. We present a method to model sound descriptor temporal profiles using segmental models. Unlike standard HMM, such an approach allows for the modeling of fine structures of temporal profiles with a reduced number of states. ...
Modeling and segmentation of audio descriptor profiles ...
https://www.researchgate.net/publication/220646229_Modeling_and_segmentation_of_audio_descriptor_profiles_with_Segmental_Models
We present an approach to model the temporal evolution of audio descriptors using Segmental Models (SMs). This method yields a signal segmentation into a sequence of primitives, constituted by a ...
Segmental Modeling for Audio Segmentation - 2007 IEEE ...
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000004218120
We suggest a novel segment based generative model in which audio segments are modeled as supervectors and each class (speech, silence, music) is modeled by a distribution over the supervector space. Segmental speech classes can then be modeled by generative models such as GMMs or can be classified by SVMs.
TOWARDS MORPHOLOGICAL SOUND DESCRIPTION …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.320.4168
We present an approach to model the temporal evolution of audio descriptors using Segmental Models (SMs). This method yields a signal segmentation into a sequence of primitives, constituted by a set of user-defined trajectories.
TOAW RDS MORPHOLOGICAL SOUND DESCRIPTION USING …
http://dafx09.como.polimi.it/proceedings/papers/paper_88.pdf
We present an approach to model the temporal evolution of audio descriptors using Segmental Models (SMs). This method yields a signal segmentation into a sequence of primitives, constituted by a set of user-defined trajectories . This allows one to consider spe-cificprimitiveshapes, model their duration and to take into account
An embedded segmental K-means model for unsupervised ...
https://www.kamperh.com/papers/kamper+livescu+goldwater_asru2017.pdf
rst is the Bayesian embedded segmental Gaussian mixture model (BES-GMM) [23]: a probabilistic model that represents potential word segments as xed-dimensional acoustic word embeddings, and then builds a whole-word acoustic model in this embedding space while jointly doing segmentation. The secondistherecurringsyllable-unitsegmenter(SylSeg)[24],a
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