LIKE FORGET THE ALL THE M. F. C. C. S BECAUSE IT'S TOO OLD AND THEN START BUILDING THE STORY ON THE NEW STUFF AND NOT 'CAUSE IT'S IT TAKES MAYBE YEARS AND AGAIN UH IT DEFINITELY LIKE WHO WILL WHO WILL CHOOSE THE TEN PAPERS LIKE AND IF WE ASKED YEAH BUT YEAH THOSE THINGS ARE PRACTICALLY KIND OF REALLY BUT I THINK THIS KIND OF THINGS WHAT YOU SHOWED I MEAN WHAT YOU SAID IS REALLY GOOD LIKE IF PEOPLE START IMPLEMENTING LIKE SOME PEOPLE PROPOSE SOMETHING IN FEATURE LEVEL SOME PROPOSE IN SOMETHING IN MODEL LEVEL BUT THESE TWO ARE REALLY INDEPENDENT NO WHEN REALLY WORK COMBINE THESE TWO OR AND EVERYBODY'S UH LIKE UH USING DIFFERENT TRAINING AND TESTING DATA AND THEN YOU DON'T KNOW IF LIKE THEY SHOW IT WORKS FOR TIMIT BUT THEN YOU TRY TO USE SOME DIFFERENT DATABASES YOU SEE IT DOESN'T WORK YEAH SURE YEAH YEAH YOU CAN MM SORRY MM UH WHAT IT'S A LITTLE BIT WHAT NIST IS TRYING TO DO NO SO NIST EVALUATIONS YEAH BECAUSE TO ME IT SEEMS THAT EVERYONE IS STILL COMPARING TO P. L. P. S OR M. F. C. C. S AND THERE ARE SO MANY NEW SYSTEMS AND EVERYTHING IS NEW BUT IT BASELINE IS STILL UH T TWENTY YEARS OLD AND LIKE THOSE P. L. P. AND M. F. C. C. S BECAUSE EVERYBODY KNOWS THAT DI IT WORKED SOMEHOW RIGHT FOR ANY KIND OF DATA THAT'S WHY THEY'RE COMPARING TO TO THAT SO ONCE SOMEBODY WILL COME WITH SOMETHING NEW OKAY HE HE'S SHOWING IT WORKS FOR SOME DATAS BUT STILL YEAH YEAH FIRST IT'S DIFFICULT TO TO SHOW THAT IT WORKS FOR ALL ALL THE DATAS RIGHT BECAUSE IT'S REALLY AND OH NO THEN UH THERE WILL BE ONLY ONE CONFERENCE IN THREE YEARS OR SOMETHING FOR SPEECH BECAUSE UH UH THAT'S THE OTHER YEAH BUT AGAIN LIKE AND THEN YOU COULD SAY WELL I ALSO TRIED ON THIS AND THIS YEAH BUT THEN YOU RUN OUT OF TIME NO I IDEALLY YOU'RE CORRECT UH BUT BUT EVEN PEOPLE ARE DOING SUPPOSE IN INTERSPEECH THERE WAS UH SOME CHALLENGE FOR SPEECH SYNTHESIS SO SO WHAT'S IS UH LIKE IT CHALLENGE WAS REALLY GOOD LIKE SUP THEY GIVE THE DATABASE SO YOU HAVE TO WORK ON THAT DATABASE WHAT TECHNIQUE T USE IS IT'S YOUR CHOICE LIKE BUT THAT DATABASE AND THEN THE RESULTS ANALYSIS IS THEY DECIDE SO EVEN SPEECH RECOGNITION ALSO SOME TESTS ARE COMING LIKE FOR PHONE SEGMENTATION OR SOMETHING PEOPLE GIVE SOME DATABASE AND THEN YOU HAVE TO DIS YOU CAN USE WHATEVER YOU WANT AND YOU HAVE TO PRODUCE EVEN FOR FEATURES ALSO LIKE FEATURES ALSO I THINK YEAH YEAH THE THEY THEY DESIGNED THE DATA SUCH A WAY THAT IT'S IT'S REALLY LIKE REALLY REAL UH DATA YEAH BUT THEY GIVE YOU ALSO TRAINING DATA OR ONLY THE TESTING DATA OH I UH SINCE THIS IS ONLY OKAY AT THE END THEN THEY WILL ASK YOU TO SYNTHESISE SOME SENTENCE AND YOU HAVE TO SYNTHESISE THEM AND THEN YOU HAVE TO SEND THEM YOUR TRAINING DATA ONL NO DEVELOPMENT TRAINING NO YEAH TRAINING EVALUATE IT'S AGAIN SUBJECT TO S UH BECAUSE FOR SPEECH SYNTHES YEAH YEAH LISTEN AND YEAH D YEAH EVEN UH THEY IT'S MOSTLY THEY USE NATIVE SPEAKERS ONLY BECAUSE THEY CAN REALLY JUDGE WELL SO OKAY BUT THEY D THEY DON'T HAVE ANY MEASURE LIKE YOU HAVE AN ORIGINAL SPEECH YOU TRANSCRIBE IT AND SO YOU HAVE THE ORIGINAL SPEECH SO I THE SYNTHESISED SPEECH IS THERE ANY WORDS WHICH ARE NOT MATCHING SO EVEN SPEECH SYNTHESIS THEY'RE ALSO UH INTRODUCED THIS W. E. R. TERM SO UH BUT THIS WAS REALLY QUITE SUCCESSFUL LIKE IN THIS CONFERENCE INTERSPEECH SO A LOT OF PEOPLE PARTICIPATED IN UH I THINK EVEN THEY'RE CONTINUING THIS FOR UH NEXT YEAR AND IT'S JUST T. T. S. RIGHT TEXT TO SPEECH RIGHT BUT UH I HEARD LIKE EVEN FOR I. CASSP NEXT YEAR THERE IS SOME COM UH LIKE COMPUTATION BY MARTIN KRUG SHEFFIELD AND ON THIS FEATURE EXTRACTION STUFF AND SO AT LEAST IF YOU MAKE TASK SIMPLE FOCUS THEN IT MAY BE GOOD TO COMPARE THESE FEATURES AND BUT IF YOU S USE SOME UH LARGE VOCABULARY SYSTEM IT TAKES T SIX MONTHS TO BUILD AND AT THE END YOU DON'T KNOW WHETHER YOUR FEATURES ARE REALLY UH SO SO MAYBE THAT'S FOR LIKE PEOPLE ARE ALWAYS USING P. L. P. S OR M. F. C. C. S IT'S IT'S SUCH A B LIKE LOT OF TIME INVOLVED SO YOU CAN'T REALLY CHECK MANY THI YEAH YEAH YEAH YEAH BUT AT LEAST IN IDIAP WE HAVE THIS NUMBERS RECOGNISER IS ALMOST KIND OF FREE SO EVERYBODY IS USING SO THAT'S WHAT WE ARE DOING NO ALMOST ALMOST LIKE WE ARE PUTTING DIFFERENT FEATURES AND I THINK YEAH YEAH NUMBERS RECOGNISER IS NOT REALLY DIFFERENT FROM LIKE UH A F AT LEAST IN IDIAP WE HAVE ALMOST SAME BUT MAYBE YOU ARE USING TWENTY NINE THAT'S FOR YOU IT'S DIFFERENT BUT ONE MORE BUT AT LEAST I TWENTY SEVEN HEMANT AND WE'RE ALL USING TWENTY SEVEN SO YEAH DIFFERENT SETUPS LIKE SOME PEOPLE USE THIS SETUP AND SOME PEOPLE THAT NO BUT THE PROBLEM IS YOU'RE USING ONLY DIGITS SO MAYBE THAT'S HOW YOU WELL I DON'T USE ONLY DIGITS MY M. L. P. S ARE TRAINED ON EVERYTHING AND UH TEST SET IS DIGITS YEAH UH-HUH THAT'S UH LIKE BUT O. G. I. NUMBERS ARE THERE LIKE NOW WE'RE LITTLE BIT CONVULSED LIKE WE'RE USING TWENTY SEVEN PHONES AND BEFORE IT WAS LIKE TWENTY FOUR TWENTY FIVE BUT IT'S BETTER LIKE ONCE YOU HAVE LIKE WHATEVER THE BACK END THEN YOU CAN PUT FEATURES LIKE WHETHER THEY'RE GAMMAS OR LIKE SPECTRAL ENTROPIES OR M. F. C. C. S OR WHATEVER THEN AT LEAST YOU CAN SEE UH YEAH YEAH YEAH BUT AURORA IS AUR AURORA YEAH OH YEAH SO BUT AURORA IS IT REALLY BIG DATABASE OR I MEAN HOW MUCH TIME IT TAKES TO SET UP SYSTEM AND THEN IT'S FAST NO BUT THE PROBLEM IS AURORA AGAIN THESE MODELS ARE WORD BASED MODELS NO YEAH SO AGAIN HERE WE USE TRIPHONES AND SO BUT DEFINITELY I D IF WE WANT TO SHOW NOISE SETTING IT'S YOU HAVE TO SHOW ON AURORA ALSO LIKE AURORA IS REAL TIME YEAH HMM SHE EVEN IS F IT WAS FORBIDDEN IN THE TIME RIGHT SO YOU HAVE RECOGNISER JUST USE IT DON'T PLAY WITH IT YOU JUST PLAY WITH THE FEATURES YEAH RIGHT EXACTLY SO YEAH YEAH RI RIGHT SO YEAH YEAH I YEAH YEAH THIS ICSI FEATURES AND THIS UH S UH S UH O. G. I. FEATURES AND ALL THIS SO THERE ARE ALREADY PEOPLE BUT AGAIN LIKE UH AT THE END LIKE FOR L. V. C. S. R. PEOPLE ARE USING P. L. P. S OR M. F. C. C. S OR NOTHING OF THESE FANCY FEATURE THESE ARE COMPANIES OR BECAUSE IT'S NOT SCIENTISTS SCIENTISTS JUST START FROM P. L. P. AND THEN DESIGN THE NEW FEATURES NEW BACK END OR NEW ANYTHING BUT THEY START FROM THE OLD STUFF