Automatic Phoneme Recognition for Bangla Spoken Language
We are thankful to Almighty Allah for his blessings for the successful completion of our thesis. Our heartiest gratitude, profound indebtedness and deep respect go to our supervisor Dr. Mohammad Nurul Huda,Professor & MSCSE Coordinator,United International University (UIU), Dhaka, Bangladesh, for hi...
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Department of Computer Science and Engineering, Military Institute of Science and Technology
2015
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| Online adgang: | http://hdl.handle.net/123456789/135 |
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| author | Mouri, Israt Jahan Sultana, Tahsin Wahiduzzaman Khan, Md. |
| author_browse | Mouri, Israt Jahan Sultana, Tahsin Wahiduzzaman Khan, Md. |
| author_facet | Mouri, Israt Jahan Sultana, Tahsin Wahiduzzaman Khan, Md. |
| author_sort | Mouri, Israt Jahan |
| collection | DSpace |
| description | We are thankful to Almighty Allah for his blessings for the successful completion of our thesis. Our heartiest gratitude, profound indebtedness and deep respect go to our supervisor Dr. Mohammad Nurul Huda,Professor & MSCSE Coordinator,United International University (UIU), Dhaka, Bangladesh, for his constant supervision, affectionate guidance and great encouragement and motivation. His keen interest on the topic and valuable advices throughout the study was of great help in completing thesis.
We are especially grateful to the Department of Computer Science and Engineering (CSE) of Military Institute of Science and Technology (MIST) for providing their all out support during the thesis work.
Finally, we would like to thank our families and our course mates for their appreciable assistance, patience and suggestions during the course of our thesis. |
| format | Thesis |
| id | oai:localhost:123456789-135 |
| institution | My University |
| language | English |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| publisher | Department of Computer Science and Engineering, Military Institute of Science and Technology |
| publisherStr | Department of Computer Science and Engineering, Military Institute of Science and Technology |
| record_format | dspace |
| spelling | oai:localhost:123456789-1352015-08-04T08:22:25Z Automatic Phoneme Recognition for Bangla Spoken Language Mouri, Israt Jahan Sultana, Tahsin Wahiduzzaman Khan, Md. Automatic,Phoneme, Recognition, Bangla Spoken, Language We are thankful to Almighty Allah for his blessings for the successful completion of our thesis. Our heartiest gratitude, profound indebtedness and deep respect go to our supervisor Dr. Mohammad Nurul Huda,Professor & MSCSE Coordinator,United International University (UIU), Dhaka, Bangladesh, for his constant supervision, affectionate guidance and great encouragement and motivation. His keen interest on the topic and valuable advices throughout the study was of great help in completing thesis. We are especially grateful to the Department of Computer Science and Engineering (CSE) of Military Institute of Science and Technology (MIST) for providing their all out support during the thesis work. Finally, we would like to thank our families and our course mates for their appreciable assistance, patience and suggestions during the course of our thesis. Speechrecognition(alsoknownasautomaticspeechrecognitionorcomputerspeechrecognition) converts spoken words to text. The term “voice recognition” is sometimes used to refer to recognition systems that must be trained to a particular speaker as is the case for most desktop recognition software. Recognizing the speaker can simplify the task of translating speech. For the past two decades, research in speech recognition has been intensively carried out worldwide,spurredonbyadvancesinsignalprocessing,algorithms,architectures,andhardware. Speech recognition systems have been developed for a wide variety of applications, rangingfromsmallvocabularykeywordrecognitionoverdial-uptelephonelines,tomedium size vocabulary voice interactive command and control systems on personal computers, to large vocabulary speech dictation, spontaneous speech understanding, and limited-domain speech translation. Inthispaper,weprepareaBanglaPhonemerecognitionsystemofBanglaAutomaticSpeech Recognition (ASR). Most of the Bangla ASR system uses a small number of speakers, but 30 speakers selected from a wide area of Bangladesh, where Bangla is used as a native language, are involved here. In the experiments, mel-frequency cepstral coefficients (MFCCs) are inputted to the hidden Markov model (HMM) based classifiers for obtaining phoneme recognition performance. It is shown from the experimental results that MFCCbased method of 39 dimensions provide higher phoneme correct rate and accuracy. Moreover, it requires fewer mixture components in the HMMs . Moreover, this paper we review some of the key advances in several areas of automatic speechrecognition. Wealsoillustrate,byexamples,howthesekeyadvancescanbeusedfor continuous speech recognition of Bangla Language. Finally we elaborate the requirements in designing successful real-world applications and address technical challenges that need to be harnessed in order to reach the ultimate goal of providing an easy-to-use, natural, and flexible voice interface between people and machines. Department of Computer Science and Engineering, Military Institute of Science and Technology 2015-06-30T06:42:20Z 2015-06-30T06:42:20Z 2013-12 Thesis http://hdl.handle.net/123456789/135 en B.Sc. in Computer Science and Engineering Thesis; application/pdf Department of Computer Science and Engineering, Military Institute of Science and Technology |
| spellingShingle | Automatic,Phoneme, Recognition, Bangla Spoken, Language Mouri, Israt Jahan Sultana, Tahsin Wahiduzzaman Khan, Md. Automatic Phoneme Recognition for Bangla Spoken Language |
| title | Automatic Phoneme Recognition for Bangla Spoken Language |
| title_full | Automatic Phoneme Recognition for Bangla Spoken Language |
| title_fullStr | Automatic Phoneme Recognition for Bangla Spoken Language |
| title_full_unstemmed | Automatic Phoneme Recognition for Bangla Spoken Language |
| title_short | Automatic Phoneme Recognition for Bangla Spoken Language |
| title_sort | automatic phoneme recognition for bangla spoken language |
| topic | Automatic,Phoneme, Recognition, Bangla Spoken, Language |
| url | http://hdl.handle.net/123456789/135 |
| work_keys_str_mv | AT mouriisratjahan automaticphonemerecognitionforbanglaspokenlanguage AT sultanatahsin automaticphonemerecognitionforbanglaspokenlanguage AT wahiduzzamankhanmd automaticphonemerecognitionforbanglaspokenlanguage |