Tecnologia en Marcha最新文献_第9页

Assessing costa rican children speech recognition by humans and machines 评估哥斯达黎加儿童的人类和机器语音识别能力

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Tecnologia en Marcha Pub Date : 2022-11-16 DOI: 10.18845/tm.v35i8.6453

Maribel Morales-Rodríguez, Marvin Coto-Jiménez

{"title":"Assessing costa rican children speech recognition by humans and machines","authors":"Maribel Morales-Rodríguez, Marvin Coto-Jiménez","doi":"10.18845/tm.v35i8.6453","DOIUrl":"https://doi.org/10.18845/tm.v35i8.6453","url":null,"abstract":"In recent years, an increasing number of studies on human-computer interaction is taking place, due to the pervasive speech interfaces implemented in systems such as cell phones, personal and home automation assistants. These studies include automatic speech recognition (ASR) and speech synthesis, and are considering a wider variety of conditions of the signals, such as noise and reverberation, and accents and age-related effects as well. For example, one of the key challenges is the development of ASR for children’s speech. Since the current systems have a dependency on language and accents, thus, to improve it, the investigations of speech recognition technologies suitable for children are needed. In this paper, we assess commercial ASR systems for the recognition of Costa Rican children’s speech, for users with ages ranging between three and fourteen years old. To establish a comparison and numeric validation of the ASR systems in recognizing children’s isolated words, we conducted a large subjective listening test that computes the differences and challenges that remains for the state-of-the art ASR systems. The results provide evident numeric differences between ASR systems and human perceptions, especially for younger children. Additionally, we provide suggestions for future research directions in the field.","PeriodicalId":42957,"journal":{"name":"Tecnologia en Marcha","volume":"31 1","pages":""},"PeriodicalIF":0.1,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84560844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A first study on age classification of costa rican speakers based on acoustic vowel analysis 基于声学元音分析的哥斯达黎加人年龄分类初探

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Tecnologia en Marcha Pub Date : 2022-11-16 DOI: 10.18845/tm.v35i8.6466

Victor Yeom-Song, Marvin Coto-Jiménez

{"title":"A first study on age classification of costa rican speakers based on acoustic vowel analysis","authors":"Victor Yeom-Song, Marvin Coto-Jiménez","doi":"10.18845/tm.v35i8.6466","DOIUrl":"https://doi.org/10.18845/tm.v35i8.6466","url":null,"abstract":"According to several studies, children’s speech is more dynamic and inconsistent compared to an adult’s speech. This aspect can be considered in the task of recognizing the age of the person who speaks and of great importance in many applications, such as humancomputer interaction, security on Internet and education assistants. Those applications have a dependency on language and accent, due to the different sounds and styles that characterize the speakers. This paper presents the initial results on the identification of Costa Rican children’s speech, in a database created for this purpose, consisting of words pronounced by adults and children of several ages. For this first study we chose the most common vowel of the language, and extract a set of common acoustic features to determine its applicability in distinguishing between adults and children of an age range. The outcome results shows promising results in the classification using a single vowel, that improves according to the number of vowels used to extract the acoustic features. This means that an automatic system could be able to improve its capacity to identify age as more speech information is received and transcribed, but cannot be very accurate in short interactions.","PeriodicalId":42957,"journal":{"name":"Tecnologia en Marcha","volume":"83 1","pages":""},"PeriodicalIF":0.1,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77040798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Presentación número especial 特刊介绍

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Tecnologia en Marcha Pub Date : 2022-11-16 DOI: 10.18845/tm.v35i8.6431

Melvin Ramírez Bogantes, Jose Luis Vásquez Vásquez, Carlos M. Travieso González

引用次数: 0

Two-dimensional gel electrophoresis image analysis of two Pseudomonas aeruginosa clones 两个铜绿假单胞菌克隆的二维凝胶电泳图像分析

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Tecnologia en Marcha Pub Date : 2022-11-16 DOI: 10.18845/tm.v35i8.6452

Jose-Arturo Molina-Mora, Diana Chinchilla-Montero, Carolina Castro-Peña, F. García

{"title":"Two-dimensional gel electrophoresis image analysis of two Pseudomonas aeruginosa clones","authors":"Jose-Arturo Molina-Mora, Diana Chinchilla-Montero, Carolina Castro-Peña, F. García","doi":"10.18845/tm.v35i8.6452","DOIUrl":"https://doi.org/10.18845/tm.v35i8.6452","url":null,"abstract":"A classical strategy to analyse the protein content of a biological sample is the two-dimensional gel electrophoresis (2D-GE). This technique separates proteins by both isoelectric point and molecular weight, and images are taken for subsequent analyses. However, analyses of 2D-GE images require standardized image analysis due to susceptibility of gels to get deformed, presence of overlapping spots and stripes, fuzzy and unstained spots, and others. This represent a difficulty for final users (researchers), which demand for free and user-friendly solutions. We have previously reported the standardization of a protocol to analyse 2D-GE images, and in the current study we applied it to two new bacterial isolates Pseudomonas aeruginosa C25 and C50. We first extracted periplasmic proteins after exposure to antibiotics, and we then run a 2D-GE analysis. Images were analysed using our standardized protocol, achieving the identification of protein spots using CellProfiler after pre-processing step. Comparison between strains was done using differential spot analysis, revealing a specific pattern in the protein expression between bacteria. These results will help to study the biological meaning of these strains using proteomic profiling under different conditions.","PeriodicalId":42957,"journal":{"name":"Tecnologia en Marcha","volume":"76 1","pages":""},"PeriodicalIF":0.1,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86670250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessing the effectiveness of transfer learning strategies in BLSTM networks for speech fenoising 评估迁移学习策略在BLSTM网络中用于语音去噪的有效性

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Tecnologia en Marcha Pub Date : 2022-11-16 DOI: 10.18845/tm.v35i8.6448

Marvin Coto-Jiménez, Astryd González-Salazar, Michelle Gutiérrez-Muñoz

{"title":"Assessing the effectiveness of transfer learning strategies in BLSTM networks for speech fenoising","authors":"Marvin Coto-Jiménez, Astryd González-Salazar, Michelle Gutiérrez-Muñoz","doi":"10.18845/tm.v35i8.6448","DOIUrl":"https://doi.org/10.18845/tm.v35i8.6448","url":null,"abstract":"Denoising speech signals represent a challenging task due to the increasing number of applications and technologies currently implemented in communication and portable devices. In those applications, challenging environmental conditions such as background noise, reverberation, and other sound artifacts can affect the quality of the signals. As a result, it also impacts the systems for speech recognition, speaker identification, and sound source localization, among many others. For denoising the speech signals degraded with the many kinds and possibly different levels of noise, several algorithms have been proposed during the past decades, with recent proposals based on deep learning presented as state-of-the-art, in particular those based on Long Short-Term Memory Networks (LSTM and Bidirectional-LSMT). In this work, a comparative study on different transfer learning strategies for reducing training time and increase the effectiveness of this kind of network is presented. The reduction in training time is one of the most critical challenges due to the high computational cost of training LSTM and BLSTM. Those strategies arose from the different options to initialize the networks, using clean or noisy information of several types. Results show the convenience of transferring information from a single case of denoising network to the rest, with a significant reduction in training time and denoising capabilities of the BLSTM networks.","PeriodicalId":42957,"journal":{"name":"Tecnologia en Marcha","volume":"1 1","pages":""},"PeriodicalIF":0.1,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82115125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Automated adenocarcinoma lung cancer tissue images segmentation based on clustering 基于聚类的腺癌肺癌组织图像自动分割

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Tecnologia en Marcha Pub Date : 2022-11-16 DOI: 10.18845/tm.v35i8.6442

Bryan Cervantes-Ramirez, Francisco Siles

引用次数: 0

Comparison of four classifiers for speech-music discrimination: a first case study for costa rican radio broadcasting 四种语言-音乐区分分类器的比较:哥斯达黎加无线电广播的第一个案例研究

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Tecnologia en Marcha Pub Date : 2022-11-16 DOI: 10.18845/tm.v35i8.6463

Joseline Sánchez-Solís, Marvin Coto-Jiménez

{"title":"Comparison of four classifiers for speech-music discrimination: a first case study for costa rican radio broadcasting","authors":"Joseline Sánchez-Solís, Marvin Coto-Jiménez","doi":"10.18845/tm.v35i8.6463","DOIUrl":"https://doi.org/10.18845/tm.v35i8.6463","url":null,"abstract":"During the past decades, a vast amount of audio data has be- come available in most languages and regions of the world. The efficient organization and manipulation of this data are important for tasks such as data classification, searching for information, diarization among many others, but also can be relevant for building corpora for training models for automatic speech recognition or building speech synthesis systems. Several of those tasks require extensive testing and data for specific languages and accents, especially when the development of communication systems with machines is a goal. In this work, we explore the application of several classifiers for the task of discriminating speech and music in Costa Rican radio broadcast. This discrimination is a first task in the exploration of a large corpus, to determine whether or not the available information is useful for particular research areas. The main contribution of this exploratory work is the general procedure and selection of algorithms for the Costa Rican radio corpus, which can lead to the extensive use of this source of data in many own applications and systems.","PeriodicalId":42957,"journal":{"name":"Tecnologia en Marcha","volume":"122 1","pages":""},"PeriodicalIF":0.1,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73280572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Personalized patient ventilation at large scale: Mass Ventilation System (MVS) 大规模患者个性化通气:大众通气系统(MVS)

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Tecnologia en Marcha Pub Date : 2022-11-16 DOI: 10.18845/tm.v35i8.6450

Ogbolu Melvin-Omone, Bence Takács, Roland Dóczi, Tivadar Garamvólgyi, Lászlo Szücs, Péter Galambos, Tamás Haidegger, Miklós Vincze, Kristóf Papp, Daniel Drexler, György Eigner, Abdallah Benhamida, Ezter Koroknai, Peter Dombai, Miklos Kozlovszky

引用次数: 0

A low cost collision avoidance system based on a ToF camera for SLAM approaches 基于ToF相机的低成本SLAM避碰系统

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Tecnologia en Marcha Pub Date : 2022-11-16 DOI: 10.18845/tm.v35i8.6465

Dayron Romero-Godoy, David Sánchez-Rodríguez, Itziar Alonso-González, Francisco Delgado-Rajó

引用次数: 0

Exploring the potential of an audio application for teaching AI-based classification methods to a wider audience 探索音频应用程序的潜力，向更广泛的受众教授基于人工智能的分类方法

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Tecnologia en Marcha Pub Date : 2022-11-16 DOI: 10.18845/tm.v35i8.6444

Gabriel Coto-Fernández, Marvin Coto-Jiménez

{"title":"Exploring the potential of an audio application for teaching AI-based classification methods to a wider audience","authors":"Gabriel Coto-Fernández, Marvin Coto-Jiménez","doi":"10.18845/tm.v35i8.6444","DOIUrl":"https://doi.org/10.18845/tm.v35i8.6444","url":null,"abstract":"Knowledge about artificial intelligence (AI) is becoming increasingly important for many careers, especially those based in science and engineering. Besides formal education, the impact of AI on society lead to consider educational projects for teaching the fundamental concepts of AI at wider audiences, including high school levels. This can help more general audiences to better understand how AI works, with the hope that also parents and educators can help students develop a healthy appreciation for implications and limitations, along with an appropriate relationship and deeper interest on it. In this paper, we present a pilot project for teaching an AI-based classification method that is empirically evaluated with real data of a real problem, which can be understood and tackled with basic mathematical tools and activities suitable for high school students. With this proposal, we aim to show how audio and speech applications can inform a wider audience about advances in AI, its characteristics, and its future impact on society. Results and lessons learned from this project can form the basis for further projects using different tools and data, according to students’ interests and initiative.","PeriodicalId":42957,"journal":{"name":"Tecnologia en Marcha","volume":"46 1","pages":""},"PeriodicalIF":0.1,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85687008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0