Development of demos for AI modelsThe development of demos (or demonstrators) for AI models involves creating simple applications or interfaces that showcase the capabilities of an artificial intelligence model in a practical and user-friendly way. https://aholab.ehu.eus/ahodemo/
Aholab Prototypes
TTS Android App
Use our Basque and Spanish voices in your Android device. Available for free at the Google Play Store
TTS iOS App
Use our Basque and Spanish voices in your iOS device. Available for free at the App Store
AhoTTS for Basque and Spanish
AhoTTS is the Aholab Signal Processing Laboratory Text to Speech Synthesizer for Basque and Spanish. You can try it in here or download it. AhoTTS in GitHub
AhoMyTTS Voice Banking
The primary goal AhoMyTTS is the design and development of a web interface that allows nonexpert users to get their own personalized synthetic voice with minimal effort. Become a donnor and a user!
AhoTTS Demo
AhoTTS is the Aholab Signal Processing Laboratory Text to Speech Synthesizer for Basque and Spanish. You can try it in the following link AhoTTS Demo
Basque Speech Recognizer
Implemented in the Elhuyar Hiztegia basque dictionary.
AhoTTS public use
AhoTTS is being use in some public media. Find it at any news from eitb.eus or berria.eus.
Bizkaifon
Bizkaifon: speech and video database for the Western dialects of the Basque Language Bizkaifon is a multimodal (speech and video) database containing thousands recordings of the many different western dialects of Basque. Most of them are transcribed to Standard Basque. It is accessible via web through this page. The database is available at ELRA.
Iparrahotsa: AhoTTS for Lapurdian Basque
Iparrahotsa is the AhoTTS version for Lapurdian Basque.This project has been funded by the Euroregion Aquitaine Euskadi under grant EUSKADI 2012-004. You can test it in this demo shown or download it from GitHub.
AhoSLABI: a multispeaker database of alaryngeal speech recordings
Esfophageal (30) and Tracheoesofageal (2) speech recordings. 100 sentences by speaker. Avalaible in ELRA!
Read More
Ahoemo3: Emotional Speech Database
500 phonetically balanced sentences recorded by Male (Kepa) and Female (Jaione) voice talents for 4 emotions (Neutral, Joy, Sadness & Anger) . It was registered at 48kHz, 16bits, semi-professional room, 2 microphones and laryngograph included. Iñaki Sainz, Daniel Erro, Eva Navas, Inma Hernáez, Jon Sánchez, Ibon Saratxaga and Igor Odriozola. Versatile Speech Databases for High Quality…
Ahoemo2: Voices for Basque Emotional Speech Synthesis.
Kattalin and Peru 702 phonetically balanced sentences repeated for the 6 MPEG emotions and neutral style, for male (Peru) and female (Kattalin) voices. It also contains a continuous read speech of 8 min, also in 7 styles. It was registered at 48kHz, 16bits, semi-professional room, 2 microphones and laryngograph included. The female voice Kattalin has…
Ahoemo1: Emotional speech and video database in Standard Basque
170 items (sentences, words) repeated for the 6 MPEG emotions and neutral style, for a female voice. The audio was registered at 32kHz, 16bits, professional studio, 1 microphones and laryngograph included. Two cameras were used for video recordings (one frontal, one lateral). Face markers were used. The female voice has been segmented at phone level…
Ahospeaker: Speech Database in Basque for Synthesis and Voice Conversion
500 phonetically balanced sentences recorded by 4 Male and 3 Female voice talents for Neutral style . It was registered at 48kHz, 16bits, semi-professional room, 2 microphones and laryngograph included. Iñaki Sainz, Daniel Erro, Eva Navas, Inma Hernáez, Jon Sánchez, Ibon Saratxaga and Igor Odriozola. Versatile Speech Databases for High Quality Synthesis for Basque. Proceedings of…
pthCPD: Pitch Detection Algorithm
Described in Luengo, I., Saratxaga, I., Navas, E., Hernáez, I., Sanchez, J., Sainz, I. Evaluation Of Pitch Detection Algorithms Under Real Conditions. Proc. of 32nd IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 1057-1060, Honolulu, 2007. ISBN: 1-4244-0728-1 PDF Please send us an email
AhoVAD: Voice Detection Algorithm
AhoVAD: Voice Detection Algorithm Described in Luengo, I., Navas, E., Odriozola, I., Saratxaga, I., Hernáez, I., Sainz, I., Erro, D. Modified LTSE-VAD Algorithm for Applications Requiring Reduced Silence Frame Misclassification. Proc. of the Seventh International Language Resources and Evaluation (LREC’10), paper 741, pp. 1539-1544, 2010. ISBN: 2-9517408-6-7. PDF Please send us an email
AhoTTS Linguistic Module (Module 1)
AhoTTS Linguistic Module performes the normalization of a Basque written text and provides an xml formatted file with the normalized and POS annotated text. The module can be executed from this link.
AhoTTS in your browser
This product doesn’t work anymore and it is not mantained. Instead look for AhoSapi in this website Now you can easily use AhoTSS, a text to speech system for Basque created by the Aholab group, from your browser. To install the previous bookmarklet follow these steps: Mozilla, Firefox, Opera Make sure the Links toolbar is…
Automatic Speech Dubbing Demo
In the context of BERBATEK research project an automatic speech dubbing demo has been developed. The demo integrates three main technologies: automatic text and audio alignment, machine translation and text to speech synthesis. Subtitles for documentary videos in Spanish are automatically generated using the audio and the corresponding script. The subtitles are then translated to…
Bizkaieraren Fonotekea: a sound archive for the Bizkaian Basque
Bizkaieraren fonotekea is a sound archive created for the Basque variant spoken in the villages located in the area of Bizkaia. You will find all kind of recordings: traditional songs, old sayings, old legends… Through this project we want to show the invaluable treasure of our language and our dialect, not only to the interested…
AhoPolar: Polarity Detector
AhoPolar: Phase based polarity detector Described in Saratxaga, I., Erro, D., Hernáez, I., Sainz, I., Navas, E. Use of Harmonic Phase Information for Polarity Detection in Speech Signals. Proc. Interspeech, pp. 1075-1078, 2009. ISSN 1990-9772. PDF Please send us an email