# German Speech Recognition

Automatic speech recognition model fine-tuned on the Common Voice 11.0 German dataset based on OpenAI's whisper-medium model

A German speech recognition model based on Whisper Large v3, optimized for German speech processing and recognition

A fine-tuned model for German speech recognition based on Whisper Large v3, specifically optimized for German speech processing and recognition.

A German speech recognition model based on distil-whisper technology, with 756 million parameters, achieving faster inference speeds while maintaining high quality.

A German speech recognition model based on whisper-tiny, with 37.8 million parameters, suitable for edge scenarios sensitive to model size.

A fine-tuned German speech recognition model based on Whisper Large v3, optimized for German speech processing and recognition

This is a German automatic speech recognition model based on the FastConformer architecture, employing a hybrid training approach with Transformer and CTC, with a parameter size of approximately 115M.

An automatic speech recognition model fine-tuned on the Common Voice 11.0 German dataset based on openai/whisper-large-v2, supporting German speech-to-text with a word error rate of 5.76

This is a large Conformer-Transducer model for German automatic speech recognition, with approximately 120 million parameters, supporting the transcription of German speech into text.

This is a large-scale Conformer-CTC model for German automatic speech recognition, trained and optimized by NVIDIA on thousands of hours of German speech data.

This is an automatic speech recognition (ASR) model fine-tuned on the German Common Voice 9.0 dataset, based on Facebook's wav2vec2-large-xlsr-53 model.

This is a German speech recognition model based on the wav2vec 2.0 XLS-R 1B architecture, incorporating TEVR (Token Entropy Variance Reduction) technology and combined with a 5-gram language model. It achieves a word error rate of 3.64% on the Common Voice German test set.

A speech recognition model fine-tuned on the Common Voice German dataset based on facebook/wav2vec2-xls-r-300m, integrated with an n-gram language model, achieving a word error rate of 8.8%

An automatic speech recognition model fine-tuned on the Common Voice German dataset based on facebook/wav2vec2-large-xlsr-53, achieving a test WER of 15.80%.

This model is an automatic speech recognition (ASR) model fine-tuned on the German subset of the multilingual LibriSpeech dataset, based on facebook/wav2vec2-xls-r-100m

This model is a fine-tuned German speech recognition model based on flozi00/wav2vec-xlsr-german, achieving a word error rate of 1.0 on the evaluation set.

This is a German automatic speech recognition model based on the XLS-R 1B architecture, fine-tuned on multiple German speech datasets including Common Voice 8.0

An automatic speech recognition model fine-tuned on the Common Voice 8 German dataset based on facebook/wav2vec2-xls-r-1b

A German automatic speech recognition model fine-tuned on the MULTILINGUAL_LIBRISPEECH - GERMAN dataset, based on facebook/wav2vec2-xls-r-100m

A speech recognition model fine-tuned on the German Common Voice dataset based on facebook/wav2vec2-large-xlsr-53, with a word error rate of 29.35%

This is an automatic speech recognition encoder-decoder model trained on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 German dataset, combining the strengths of Wav2Vec2 and GPT2 architectures.

Based on Facebook's wav2vec2-xls-r-300m model, fine-tuned on the Common Voice German dataset, supporting German speech recognition with preserved text case information.

This is a German automatic speech recognition model based on the XLSR Wav2Vec2 architecture with language model support, excelling on the Common Voice German dataset.

A speech recognition model based on Facebook's Wav2Vec2 base model, pretrained on a 10K-hour unlabeled subset of the VoxPopuli corpus and fine-tuned on German transcription data

Large-scale German automatic speech recognition (ASR) model based on Facebook's Wav2Vec2 architecture, fine-tuned on the Common Voice German dataset

This model is a fine-tuned German speech recognition model based on flozi00/wav2vec-xlsr-german, primarily used for German speech-to-text tasks.

This model is a fine-tuned German automatic speech recognition (ASR) model based on facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - DE dataset.

This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - German dataset for German automatic speech recognition tasks.