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Diarization in Maximally Ecological Recordings: Data from Tsimane Children 最大限度的生态记录:来自提斯曼儿童的数据
Workshop on Spoken Language Technologies for Under-resourced Languages Pub Date : 2018-08-29 DOI: 10.21437/SLTU.2018-7
Julien Karadayi, Camila Scaff, Alejandrina Cristia
{"title":"Diarization in Maximally Ecological Recordings: Data from Tsimane Children","authors":"Julien Karadayi, Camila Scaff, Alejandrina Cristia","doi":"10.21437/SLTU.2018-7","DOIUrl":"https://doi.org/10.21437/SLTU.2018-7","url":null,"abstract":"Daylong recordings may be the most naturalistic and least invasive way to collect speech data, sampling all potential language use contexts, with a device that is unobtrusive enough to have little effect on people’s behaviors. As a result, this technology is relevant for studying diverse languages, including understudied languages in remote settings – provided we can apply effective unsupervised analyses procedures. In this paper, we analyze in detail results from applying an open source package (DiViMe) and a proprietary alternative (LENA ), onto clips periodically sampled from daylong recorders worn by Tsimane children of the Bolivian Amazon (age range: 6-68 months; recording time/child range: 4-22h). Detailed analyses showed the open source package fared no worse than the proprietary alternative. However, performance was overall rather dismal. We suggest promising directions for improvements based on analyses of variation in performance within our corpus.","PeriodicalId":190269,"journal":{"name":"Workshop on Spoken Language Technologies for Under-resourced Languages","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122732112","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: 1
Improving ASR Output for Endangered Language Documentation 改进濒危语言文献的ASR输出
Workshop on Spoken Language Technologies for Under-resourced Languages Pub Date : 2018-08-29 DOI: 10.21437/SLTU.2018-39
Robert Jimerson, Kruthika Simha, R. Ptucha, Emily Tucker Prud'hommeaux
{"title":"Improving ASR Output for Endangered Language Documentation","authors":"Robert Jimerson, Kruthika Simha, R. Ptucha, Emily Tucker Prud'hommeaux","doi":"10.21437/SLTU.2018-39","DOIUrl":"https://doi.org/10.21437/SLTU.2018-39","url":null,"abstract":"Documenting endangered languages supports the historical preservation of diverse cultures. Automatic speech recognition (ASR), while potentially very useful for this task, has been underutilized for language documentation due to the challenges inherent in building robust models from extremely limited audio and text training resources. In this paper, we explore the utility of supplementing existing training resources using synthetic data, with a focus on Seneca, a morphologically complex endangered language of North America. We use transfer learning to train acoustic models using both the small amount of available acoustic training data and artificially distorted copies of that data. We then supplement the language model training data with verb forms generated by rule and sentences produced by an LSTM trained on the available text data. The addition of synthetic data yields reductions in word error rate, demonstrating the promise of data augmentation for this task.","PeriodicalId":190269,"journal":{"name":"Workshop on Spoken Language Technologies for Under-resourced Languages","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132950836","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: 12
A Step-by-Step Process for Building TTS Voices Using Open Source Data and Frameworks for Bangla, Javanese, Khmer, Nepali, Sinhala, and Sundanese 使用开源数据和框架为孟加拉语、爪哇语、高棉语、尼泊尔语、僧伽罗语和巽他语逐步建立TTS声音的过程
Workshop on Spoken Language Technologies for Under-resourced Languages Pub Date : 2018-08-29 DOI: 10.21437/SLTU.2018-14
Keshan Sanjaya Sodimana, Pasindu De Silva, Supheakmungkol Sarin, Oddur Kjartansson, Martin Jansche, Knot Pipatsrisawat, Linne Ha
{"title":"A Step-by-Step Process for Building TTS Voices Using Open Source Data and Frameworks for Bangla, Javanese, Khmer, Nepali, Sinhala, and Sundanese","authors":"Keshan Sanjaya Sodimana, Pasindu De Silva, Supheakmungkol Sarin, Oddur Kjartansson, Martin Jansche, Knot Pipatsrisawat, Linne Ha","doi":"10.21437/SLTU.2018-14","DOIUrl":"https://doi.org/10.21437/SLTU.2018-14","url":null,"abstract":"The availability of language resources is vital for the development of text-to-speech (TTS) systems. Thus, open source resources are highly beneficial for TTS research communities focused on low-resourced languages. In this paper, we present data sets for 6 low-resourced languages that we open sourced to the public. The data sets consist of audio files, pronunciation lexicons, and phonology definitions for Bangla, Javanese, Khmer, Nepali, Sinhala, and Sundanese. These data sets are sufficient for building voices in these languages. We also describe a recipe for building a new TTS voice using our data together with openly available resources and tools.","PeriodicalId":190269,"journal":{"name":"Workshop on Spoken Language Technologies for Under-resourced Languages","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122705496","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: 31
Building Speech Recognition Systems for Language Documentation: The CoEDL Endangered Language Pipeline and Inference System (ELPIS) 构建语言文档的语音识别系统:CoEDL濒危语言管道和推理系统(ELPIS)
Workshop on Spoken Language Technologies for Under-resourced Languages Pub Date : 2018-08-29 DOI: 10.21437/SLTU.2018-43
Ben Foley, Joshua T. Arnold, Rolando Coto-Solano, Gautier Durantin, T. M. Ellison, D. Esch, Scott Heath, Frantisek Kratochvíl, Zara Maxwell-Smith, David Nash, Ola Olsson, Mark Richards, Nay San, H. Stoakes, N. Thieberger, Janet Wiles
{"title":"Building Speech Recognition Systems for Language Documentation: The CoEDL Endangered Language Pipeline and Inference System (ELPIS)","authors":"Ben Foley, Joshua T. Arnold, Rolando Coto-Solano, Gautier Durantin, T. M. Ellison, D. Esch, Scott Heath, Frantisek Kratochvíl, Zara Maxwell-Smith, David Nash, Ola Olsson, Mark Richards, Nay San, H. Stoakes, N. Thieberger, Janet Wiles","doi":"10.21437/SLTU.2018-43","DOIUrl":"https://doi.org/10.21437/SLTU.2018-43","url":null,"abstract":"","PeriodicalId":190269,"journal":{"name":"Workshop on Spoken Language Technologies for Under-resourced Languages","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127820332","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: 8
Evaluating Code-Switched Malay-English Speech Using Time Delay Neural Networks. 用时滞神经网络评价马来语-英语语码转换语音。
Workshop on Spoken Language Technologies for Under-resourced Languages Pub Date : 2018-08-29 DOI: 10.21437/SLTU.2018-40
Anand Singh, Tien-Ping Tan
{"title":"Evaluating Code-Switched Malay-English Speech Using Time Delay Neural Networks.","authors":"Anand Singh, Tien-Ping Tan","doi":"10.21437/SLTU.2018-40","DOIUrl":"https://doi.org/10.21437/SLTU.2018-40","url":null,"abstract":"This paper presents a new baseline for Malay-English code-switched speech corpus; which is constructed using a factored form of time delay neural networks (TDNN-F), which reflected a significant relative percentage reduction of 28.07% in the word-error rate (WER), as compared to the Gaussian Mixture Model-Hidden Markov Model (GMM-HMM). The presented results also confirm the effectiveness of time delay neural networks (TDNNs) for code-switched speech.","PeriodicalId":190269,"journal":{"name":"Workshop on Spoken Language Technologies for Under-resourced Languages","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115173815","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: 3
Building a Natural Sounding Text-to-Speech System for the Nepali Language - Research and Development Challenges and Solutions 尼泊尔语自然发声文转语音系统的构建——研究与开发挑战与解决方案
Workshop on Spoken Language Technologies for Under-resourced Languages Pub Date : 2018-08-29 DOI: 10.21437/SLTU.2018-32
Roop Bajracharya, S. Regmi, B. Bal, Balaram Prasain
{"title":"Building a Natural Sounding Text-to-Speech System for the Nepali Language - Research and Development Challenges and Solutions","authors":"Roop Bajracharya, S. Regmi, B. Bal, Balaram Prasain","doi":"10.21437/SLTU.2018-32","DOIUrl":"https://doi.org/10.21437/SLTU.2018-32","url":null,"abstract":"Text-to-Speech (TTS) synthesis has come far from its primitive synthetic monotone voices to more natural and intelligible sounding voices. One of the direct applications of a natural sounding TTS systems is the screen reader applications for the visually impaired and the blind community. The Festival Speech Synthesis System uses a concatenative speech synthesis method together with the unit selection process to generate a natural sounding voice. This work primarily gives an account of the efforts put towards developing a Natural sounding TTS system for Nepali using the Festival system. We also shed light on the issues faced and the solutions derived which can be quite overlapping across other similar under-resourced languages in the region.","PeriodicalId":190269,"journal":{"name":"Workshop on Spoken Language Technologies for Under-resourced Languages","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114612157","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
Corpus Construction and Semantic Analysis of Indonesian Image Description 印尼语图像描述的语料库构建与语义分析
Workshop on Spoken Language Technologies for Under-resourced Languages Pub Date : 2018-08-29 DOI: 10.21437/SLTU.2018-9
Khumaisa Nur'Aini, Johanes Effendi, S. Sakti, M. Adriani, Satoshi Nakamura
{"title":"Corpus Construction and Semantic Analysis of Indonesian Image Description","authors":"Khumaisa Nur'Aini, Johanes Effendi, S. Sakti, M. Adriani, Satoshi Nakamura","doi":"10.21437/SLTU.2018-9","DOIUrl":"https://doi.org/10.21437/SLTU.2018-9","url":null,"abstract":"Understanding language grounded in visual content is a challenging problem that has raised interest in both the computer vision and natural language processing communities. Flickr30k, which is one of the corpora that have become a standard benchmark to study sentence-based image description, was initially limited to English descriptions, but it has been extended to German, French, and Czech. This paper describes our construction of an image description dataset in the Indonesian language. We translated English descriptions from the Flickr30K dataset into Indonesian with automatic machine translation and performed human validation for the portion of the result. We then constructed Indonesian image descriptions of 10k images by crowdsourcing without English descriptions or translations, and found semantic differences between translations and descriptions. We conclude that the cultural differences between the native speakers of English and Indonesian create different perceptions for constructing natural language expressions that describe an image.","PeriodicalId":190269,"journal":{"name":"Workshop on Spoken Language Technologies for Under-resourced Languages","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114874452","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: 2
Development of IIITH Hindi-English Code Mixed Speech Database IIITH印英码混合语音数据库的开发
Workshop on Spoken Language Technologies for Under-resourced Languages Pub Date : 2018-08-29 DOI: 10.21437/SLTU.2018-23
B. Rambabu, S. Gangashetty
{"title":"Development of IIITH Hindi-English Code Mixed Speech Database","authors":"B. Rambabu, S. Gangashetty","doi":"10.21437/SLTU.2018-23","DOIUrl":"https://doi.org/10.21437/SLTU.2018-23","url":null,"abstract":"This paper presents the design and development of IIITH Hindi-English code mixed (IIITH-HE-CM) text and corresponding speech corpus. The corpus is collected from several Hindi native speakers from different geographical parts of India. The IIITH-HE-CM corpus has phonetically balanced code mixed sentences with all the phoneme coverage of Hindi and English languages. We used triphone frequency of word internal triphone sequence, consists the language specific information, which helps in code mixed speech recognition and language modelling. The code mixed sentences are written in Devanagari script. Since computers can recognize Roman symbols, we used Indian Language Speech Sound Label (ILSL) transcription. An acoustic model is built for Hindi-English mixed language in-stead of language-dependent models. A large vocabulary code-mixing speech recognition system is developed based on a deep neural network (DNN) architecture. The proposed code-mixed speech recognition system attains low word error rate (WER) compared to conventional system.","PeriodicalId":190269,"journal":{"name":"Workshop on Spoken Language Technologies for Under-resourced Languages","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127206674","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: 1
Relative Phase Shift Features for Replay Spoof Detection System 重放欺骗检测系统的相对相移特性
Workshop on Spoken Language Technologies for Under-resourced Languages Pub Date : 2018-08-29 DOI: 10.21437/SLTU.2018-21
Srinivas Kantheti, H. Patil
{"title":"Relative Phase Shift Features for Replay Spoof Detection System","authors":"Srinivas Kantheti, H. Patil","doi":"10.21437/SLTU.2018-21","DOIUrl":"https://doi.org/10.21437/SLTU.2018-21","url":null,"abstract":"The replay spoofing tries to fool the Automatic Speaker Verification (ASV) system by the recordings of a genuine utterance. Most of the studies have used magnitude-based features and ignored phase-based features for replay detection. However, the phase-based features also affected due to the environmental characteristics during recording. Hence, the phase-based features, such as parameterized Relative Phase Shift (RPS) and Modified Group Delay are used in this paper along with the baseline feature set, namely, Constant Q Cepstral Coefficients (CQCC) and Mel Frequency Cepstral Coefficients (MFCC). We found out that the score-level fusion of magnitude and phase-based features are giving better performance than the individual feature sets alone on the ASV Spoof 2017 Challenge version 2. In particular, the Equal Error Rate (EER) is 12.58 % on the evaluation set with the fusion of RPS and the CQCC feature sets using Gaussian Mixture Model (GMM) classifier.","PeriodicalId":190269,"journal":{"name":"Workshop on Spoken Language Technologies for Under-resourced Languages","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126382304","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: 8
The Intonation System of Tajik: Is it Identical to Persian? 塔吉克语的语调系统:与波斯语相同吗?
Workshop on Spoken Language Technologies for Under-resourced Languages Pub Date : 2018-08-29 DOI: 10.21437/SLTU.2018-54
Marina Agafonova
{"title":"The Intonation System of Tajik: Is it Identical to Persian?","authors":"Marina Agafonova","doi":"10.21437/SLTU.2018-54","DOIUrl":"https://doi.org/10.21437/SLTU.2018-54","url":null,"abstract":"","PeriodicalId":190269,"journal":{"name":"Workshop on Spoken Language Technologies for Under-resourced Languages","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122776472","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
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