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Text to Audio Alignment
Šikula, Vojtěch ; Beneš, Karel (referee) ; Szőke, Igor (advisor)
This bachelors thesis is dealing with text to audio alignment. I present here works which are dealing with same problem. For evaluation have been used data from MGB Challenge 2015. Technique used here is using phoneme transcription and its alignment with transcript. Alignment was done with different models. The best results have been achieved by intersection of two alignments from models from good records.
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Text to Audio Alignment
Šuba, Adam ; Hradiš, Michal (referee) ; Szőke, Igor (advisor)
This bachelor thesis studies a tool for automatic text to audio alignment at the level of single phonemes and graphemes. It also discusses possible techniques used in alignment and possible limitations and difficulties that need to be taken into account. Studied tool uses approach based on grapheme-to-phoneme conversion using joint-sequence models. Data used in experiments are TV broadcast recordings from Multi-Genre Broadcast Challenge 2015.
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AutoRapper - Automatic Alignment of Speech with a Rhythm
Poliak, Sebastián ; Glembek, Ondřej (referee) ; Černocký, Jan (advisor)
Tato práce popisuje návrh a implementaci aplikace, která automaticky převádí vstupní řeč na rap. Tento proces je založen na zarovnání řeči s rytmem, které je dosaženo pomocí rozpoznávání fonémù, slabikování a časové modifikáce řeči. Další funkce, jako je hudební podklad a vokální efekt jsou přidány za účelem přiblížení se ke skutečnému rapu. Výsledná aplikace je dostupná jako webová služba pro uživatele.
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In the Traces of Leoš Janáček - Conversion of Speech to Music
Marciniak, Petr ; Glembek, Ondřej (referee) ; Černocký, Jan (advisor)
The aim of this bachelor thesis is to develop an application, which will automatically convert speech recording in WAV format to speech-melody-based music in MIDI format. At first, the problem is analyzed and the theoretical background is described. Basics of music generation from speech are introduced. Initial experiments like creation of the elementary melody, averaging of tones, syllables detection, etc. are discussed in order to establish, which of these techniques have a positive impact on the resulting music and therefore should be implemented in the resulting application. Basic criteria of beauty in music generation needed to be defined and different compositional techniques such as inversion of notes or tempo changes were investigated. Further, the implementation is described and user testing is evaluated. The conclusions are drawn and future directions of development are discussed. The user manual for the application as well as a "cook book" listing tools used in the application development can be found in the Appendix.
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Text to Audio Alignment
Šuba, Adam ; Hradiš, Michal (referee) ; Szőke, Igor (advisor)
This bachelor thesis studies a tool for automatic text to audio alignment at the level of single phonemes and graphemes. It also discusses possible techniques used in alignment and possible limitations and difficulties that need to be taken into account. Studied tool uses approach based on grapheme-to-phoneme conversion using joint-sequence models. Data used in experiments are TV broadcast recordings from Multi-Genre Broadcast Challenge 2015.
|
|
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Text to Audio Alignment
Šikula, Vojtěch ; Beneš, Karel (referee) ; Szőke, Igor (advisor)
This bachelors thesis is dealing with text to audio alignment. I present here works which are dealing with same problem. For evaluation have been used data from MGB Challenge 2015. Technique used here is using phoneme transcription and its alignment with transcript. Alignment was done with different models. The best results have been achieved by intersection of two alignments from models from good records.
|
|
|
In the Traces of Leoš Janáček - Conversion of Speech to Music
Marciniak, Petr ; Glembek, Ondřej (referee) ; Černocký, Jan (advisor)
The aim of this bachelor thesis is to develop an application, which will automatically convert speech recording in WAV format to speech-melody-based music in MIDI format. At first, the problem is analyzed and the theoretical background is described. Basics of music generation from speech are introduced. Initial experiments like creation of the elementary melody, averaging of tones, syllables detection, etc. are discussed in order to establish, which of these techniques have a positive impact on the resulting music and therefore should be implemented in the resulting application. Basic criteria of beauty in music generation needed to be defined and different compositional techniques such as inversion of notes or tempo changes were investigated. Further, the implementation is described and user testing is evaluated. The conclusions are drawn and future directions of development are discussed. The user manual for the application as well as a "cook book" listing tools used in the application development can be found in the Appendix.
|
|
|
AutoRapper - Automatic Alignment of Speech with a Rhythm
Poliak, Sebastián ; Glembek, Ondřej (referee) ; Černocký, Jan (advisor)
Tato práce popisuje návrh a implementaci aplikace, která automaticky převádí vstupní řeč na rap. Tento proces je založen na zarovnání řeči s rytmem, které je dosaženo pomocí rozpoznávání fonémù, slabikování a časové modifikáce řeči. Další funkce, jako je hudební podklad a vokální efekt jsou přidány za účelem přiblížení se ke skutečnému rapu. Výsledná aplikace je dostupná jako webová služba pro uživatele.
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