Open Source German Distant Speech Recognition: Corpus and Acoustic Model
We present a new freely available corpus for German distant speech recognition and report speaker-independent word error rate (WER) results for two open source speech recognizers trained on this corpus. The corpus has been recorded in a controlled environment with three different microphones at a distance of one meter. It comprises 180 different speakers with a total of 36 hours of audio recordings. We show recognition results with the open source toolkit Kaldi (20.5% WER) and PocketSphinx (39.6% WER) and make a complete open source solution for German distant speech recognition possible.
Code (1)
Tasks
Distant Speech Recognitionspeech-recognitionSpeech RecognitionSimilar Papers 제목 키워드 기반
Open Source Automatic Speech Recognition for German
High quality Automatic Speech Recognition (ASR) is a prerequisite for speech-based applications and research. While state-of-the-art ASR software is freely available, the language dependent acoustic models are lacking fo…
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)Diversityspeech-recognition+1LibriVoxDeEn: A Corpus for German-to-English Speech Translation and German Speech Recognition
We present a corpus of sentence-aligned triples of German audio, German text, and English translation, based on German audiobooks. The speech translation data consist of 110 hours of audio material aligned to over 50k pa…
Sentencespeech-recognitionSpeech RecognitionTranslationIMS-Speech: A Speech to Text Tool
We present the IMS-Speech, a web based tool for German and English speech transcription aiming to facilitate research in various disciplines which require accesses to lexical information in spoken language materials. Thi…
speech-recognitionSpeech RecognitionSpeech-to-TextReconnaissance automatique de la parole distante dans un habitat intelligent : m\'ethodes multi-sources en conditions r\'ealistes (Distant Speech Recognition in a Smart Home : Comparison of Several Multisource ASRs in Realistic Conditions) [in French]
CHiME-6 Challenge:Tackling Multispeaker Speech Recognition for Unsegmented Recordings
Following the success of the 1st, 2nd, 3rd, 4th and 5th CHiME challenges we organize the 6th CHiME Speech Separation and Recognition Challenge (CHiME-6). The new challenge revisits the previous CHiME-5 challenge and furt…
speaker-diarizationSpeaker DiarizationSpeech Enhancementspeech-recognition+2