Lahjoita puhetta baseline speech recognition model, built with the Kaldi toolkit. Trained on 1600 hours of Finnish speech. Described in the paper "Lahjoita puhetta: a large-scale corpus of spoken Finnish with some benchmarks". For more details and instructions, see the Github page. This upload includes the acoustic model in "am_lp_1600h.zip", the i-vector extractor in "extractor.zip", word-based decoding graph in "graph_word_lp_web_dsp.zip", and subword-based decoding graph in "graph_morfessor_lp_web_dsp.zip"
International audienceThe availability of open-source software is playing a remarkable role in the p...
This paper introduces a new corpus of read English speech, suitable for training and evaluating spee...
The language model is one of the key components of a large vocabulary continuous speech recognition ...
Lahjoita puhetta baseline speech recognition model, built with the Kaldi toolkit. Trained on 1600 ho...
The importance of Automatic Speech Recognition cannot be underestimated in today’s worlds as they pl...
Automatic speech recognition (ASR) systems require large amounts of transcribed speech data, for tra...
Language Models (LMs) represent a crucial component in the architecture of Automatic Speech Recognit...
Funding Information: This work was partly funded by Academy of Finland (Grant Numbers 337073, 329267...
Funding Information: This work has been supported by the MeMAD project of the European Union’s Horiz...
Speech technology applications for major languages are becoming widely available, but for many other...
We study character-based language models in the state-of-the-art speech recognition framework. This ...
With the development of intelligent era, speech recognition has been a hottopic. Although many autom...
The accuracy of automatic speech recognizers has been constantly improving for decades. Aalto Univer...
We describe the design of Kaldi, a free, open-source toolkit for speech recognition research. Kaldi ...
Conventional large vocabulary automatic speech recognition (ASR) systems require a mapping from word...
International audienceThe availability of open-source software is playing a remarkable role in the p...
This paper introduces a new corpus of read English speech, suitable for training and evaluating spee...
The language model is one of the key components of a large vocabulary continuous speech recognition ...
Lahjoita puhetta baseline speech recognition model, built with the Kaldi toolkit. Trained on 1600 ho...
The importance of Automatic Speech Recognition cannot be underestimated in today’s worlds as they pl...
Automatic speech recognition (ASR) systems require large amounts of transcribed speech data, for tra...
Language Models (LMs) represent a crucial component in the architecture of Automatic Speech Recognit...
Funding Information: This work was partly funded by Academy of Finland (Grant Numbers 337073, 329267...
Funding Information: This work has been supported by the MeMAD project of the European Union’s Horiz...
Speech technology applications for major languages are becoming widely available, but for many other...
We study character-based language models in the state-of-the-art speech recognition framework. This ...
With the development of intelligent era, speech recognition has been a hottopic. Although many autom...
The accuracy of automatic speech recognizers has been constantly improving for decades. Aalto Univer...
We describe the design of Kaldi, a free, open-source toolkit for speech recognition research. Kaldi ...
Conventional large vocabulary automatic speech recognition (ASR) systems require a mapping from word...
International audienceThe availability of open-source software is playing a remarkable role in the p...
This paper introduces a new corpus of read English speech, suitable for training and evaluating spee...
The language model is one of the key components of a large vocabulary continuous speech recognition ...