Abstract: Systems and methods for machine-learning based multi-lingual pronunciation generation are disclosed. A method for machine-learning based multi-lingual pronunciation generation may include: (1) training a language origin prediction machine learning model; (2) training a pronunciation generator machine learning model; (3) receiving, by a pronunciation computer program, a word for pronunciation guidance; (4) predicting, by the pronunciation computer program and using the trained language origin prediction machine learning model, a language origin of the word; (5) predicting, by the pronunciation computer program and using the trained pronunciation generator machine learning model and the language origin, a syllable-by-syllable pronunciation for the word; and (6) returning, by the pronunciation computer program, the syllable-by-syllable pronunciation.

Abstract: A method for growing bulk boron arsenide (BA) crystals, the method comprising utilizing a seeded chemical vapor transport (CVT) growth mechanism to produce single BAs crystals which are used for further CVT growth, wherein a sparsity of nucleation centers is controlled during the further CVT growth. Also disclosed are bulk BAs crystals produced via the method.

Abstract: Systems and methods for efficient speech representation are disclosed. In one embodiment, a method for efficient speech representation may include training a teacher model using training data to get embeddings from intermediate and/or final layers of the teacher model; training a student model using training data processed with audio distortion to have outputs matching the embeddings from the teacher model; and injecting known hand-crafted audio features into intermediate or final layers of the student model.

Abstract: Embodiments of the present disclosure include methods and systems for generating and processing energy consumption reports received from a plurality of devices. The reports may include a plurality of call stacks captured and stored by remote device as a result of an energy consumption of the corresponding device. For each energy consumption report, the plurality of call stacks may be analyzed to determine a representative call stack of the energy consumption report. The energy consumption reports may be assigned to one or more of a plurality of energy consumption categories based on distances between the representative call stacks of the energy consumption reports and corresponding representative call stacks of the energy consumption categories. A request may be received for energy consumption reports for a particular energy consumption category. Upon receiving the request, providing a representative set of energy consumption reports assigned to the particular energy consumption category.

Abstract: Embodiments of the present disclosure include methods and systems for generating and processing energy consumption reports received from a plurality of devices. The reports may include a plurality of call stacks captured and stored by remote device as a result of an energy consumption of the corresponding device. For each energy consumption report, the plurality of call stacks may be analyzed to determine a representative call stack of the energy consumption report. The energy consumption reports may be assigned to one or more of a plurality of energy consumption categories based on distances between the representative call stacks of the energy consumption reports and corresponding representative call stacks of the energy consumption categories. A request may be received for energy consumption reports for a particular energy consumption category. Upon receiving the request, providing a representative set of energy consumption reports assigned to the particular energy consumption category.

Abstract: Embodiments of the present disclosure include methods and systems for generating and processing energy consumption reports received from a plurality of devices. The reports may include a plurality of call stacks captured and stored by remote device as a result of an energy consumption of the corresponding device. For each energy consumption report, the plurality of call stacks may be analyzed to determine a representative call stack of the energy consumption report. The energy consumption reports may be assigned to one or more of a plurality of energy consumption categories based on distances between the representative call stacks of the energy consumption reports and corresponding representative call stacks of the energy consumption categories. A request may be received for energy consumption reports for a particular energy consumption category. Upon receiving the request, providing a representative set of energy consumption reports assigned to the particular energy consumption category.