Passer au contenu

Survey about the 2014 paper on ASR for low resource languages

Questionnaire about 2014 paper "ASR for under-resourced languages: A survey"

paper: https://repository.nwu.ac.za/bitstream/handle/10394/26495/barnard-2014-Automatic-speech.pdf?sequence=1
1.Section 1.1 of the paper mentions how many languages are covered for core industrial technologies such as: Google Translate (63 languages involved in 2012) and Siri ASR (8 languages in 2012). How much do you think these numbers have increased in ten years?
2.Section 1.3 says that « in the perspective of saving some endangered languages (some mostly spoken and not written), the possibility to rapidly develop ASR systems to transcribe them is an important step for their preservation and would facilitate access to audio contents in these languages». Did this happen ?
3.Section 2.4 mentions more and more papers on low-resource ASR. How much do you think these numbers have increased in ten years?
4.Section 2.5 mentions one of the biggest multilingual dataset at that time (Globalphone, 21 languages, 20h/language). How much do you think the number of covered languages, for such multilingual datasets, have increased in ten years?
5.Section 2.5 mentions one of the biggest multilingual dataset at that time (Globalphone, 21 languages, 20h/language). How much do you think the  amount of transcribed speech (in hours), for such multilingual datasets, have increased in ten years?
6.Fig. 2 shows the architecture of an ASR system. Has this architecture radically changed in 10 years ?
7.Section 3.2 explains current methodologies for data collection. Have these approaches radically changed in 10 years ?
8.Section 3 describes components of ASR system. Which one is nowadays barely addressed (because considered as not needed anymore) ?
9.Section 3.7 presents ASR evaluation metrics. Have these changed in 10 years ?
10.With ten years of hindsight; what is the least visionary statement you would extract from this paper ?