2023-03-13-asr_exp_w2v2r_xls_r_gender_male_5_female_5_s719_en

docs/_posts/ahmedlone127/2023-03-13-asr_Spoof_detection_en.md

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+---
+layout: model
+title: English asr_Spoof_detection TFWav2Vec2ForCTC from 202015004
+author: John Snow Labs
+name: asr_Spoof_detection
+date: 2023-03-13
+tags: [wav2vec2, en, audio, open_source, asr, tensorflow]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 4.4.0
+spark_version: 3.0
+supported: true
+engine: tensorflow
+annotator: Wav2Vec2ForCTC
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Wav2vec2  model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`asr_Spoof_detection` is a English model originally trained by 202015004.
+
+NOTE: This model only works on a CPU, if you need to use this model on a GPU device please use asr_Spoof_detection_gpu
+
+{:.btn-box}
+<button class="button button-orange" disabled>Live Demo</button>
+<button class="button button-orange" disabled>Open in Colab</button>
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/asr_Spoof_detection_en_4.4.0_3.0_1678735921741.zip){:.button.button-orange}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/asr_Spoof_detection_en_4.4.0_3.0_1678735921741.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+<div class="tabs-box" markdown="1">
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+audio_assembler = AudioAssembler() \
+    .setInputCol("audio_content") \
+    .setOutputCol("audio_assembler")
+
+speech_to_text = Wav2Vec2ForCTC \
+    .pretrained("asr_Spoof_detection", "en")\
+    .setInputCols("audio_assembler") \
+    .setOutputCol("text")
+
+pipeline = Pipeline(stages=[
+  audio_assembler,
+  speech_to_text,
+])
+
+pipelineModel = pipeline.fit(audioDf)
+
+pipelineDF = pipelineModel.transform(audioDf)
+```
+```scala
+
+val audioAssembler = new AudioAssembler()
+    .setInputCol("audio_content") 
+    .setOutputCol("audio_assembler")
+
+val speechToText = Wav2Vec2ForCTC
+    .pretrained("asr_Spoof_detection", "en")
+    .setInputCols("audio_assembler") 
+    .setOutputCol("text") 
+
+val pipeline = new Pipeline().setStages(Array(audioAssembler, speechToText))
+
+val pipelineModel = pipeline.fit(audioDf)
+
+val pipelineDF = pipelineModel.transform(audioDf)
+
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|asr_Spoof_detection|
+|Compatibility:|Spark NLP 4.4.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|355.0 MB|

docs/_posts/ahmedlone127/2023-03-13-asr_ailabs_proj_en.md

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+---
+layout: model
+title: English asr_ailabs_proj TFWav2Vec2ForCTC from Akashpb13
+author: John Snow Labs
+name: asr_ailabs_proj
+date: 2023-03-13
+tags: [wav2vec2, en, audio, open_source, asr, tensorflow]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 4.4.0
+spark_version: 3.0
+supported: true
+engine: tensorflow
+annotator: Wav2Vec2ForCTC
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Wav2vec2  model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`asr_ailabs_proj` is a English model originally trained by Akashpb13.
+
+NOTE: This model only works on a CPU, if you need to use this model on a GPU device please use asr_ailabs_proj_gpu
+
+{:.btn-box}
+<button class="button button-orange" disabled>Live Demo</button>
+<button class="button button-orange" disabled>Open in Colab</button>
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/asr_ailabs_proj_en_4.4.0_3.0_1678737426588.zip){:.button.button-orange}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/asr_ailabs_proj_en_4.4.0_3.0_1678737426588.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+<div class="tabs-box" markdown="1">
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+audio_assembler = AudioAssembler() \
+    .setInputCol("audio_content") \
+    .setOutputCol("audio_assembler")
+
+speech_to_text = Wav2Vec2ForCTC \
+    .pretrained("asr_ailabs_proj", "en")\
+    .setInputCols("audio_assembler") \
+    .setOutputCol("text")
+
+pipeline = Pipeline(stages=[
+  audio_assembler,
+  speech_to_text,
+])
+
+pipelineModel = pipeline.fit(audioDf)
+
+pipelineDF = pipelineModel.transform(audioDf)
+```
+```scala
+
+val audioAssembler = new AudioAssembler()
+    .setInputCol("audio_content") 
+    .setOutputCol("audio_assembler")
+
+val speechToText = Wav2Vec2ForCTC
+    .pretrained("asr_ailabs_proj", "en")
+    .setInputCols("audio_assembler") 
+    .setOutputCol("text") 
+
+val pipeline = new Pipeline().setStages(Array(audioAssembler, speechToText))
+
+val pipelineModel = pipeline.fit(audioDf)
+
+val pipelineDF = pipelineModel.transform(audioDf)
+
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|asr_ailabs_proj|
+|Compatibility:|Spark NLP 4.4.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.2 GB|

docs/_posts/ahmedlone127/2023-03-13-asr_dat259_wav2vec2_by_Jethuestad_Chuvash_English_en.md

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+---
+layout: model
+title: English asr_dat259_wav2vec2_by_Jethuestad_Chuvash_English TFWav2Vec2ForCTC from Jethuestad
+author: John Snow Labs
+name: asr_dat259_wav2vec2_by_Jethuestad_Chuvash_English
+date: 2023-03-13
+tags: [wav2vec2, en, audio, open_source, asr, tensorflow]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 4.4.0
+spark_version: 3.0
+supported: true
+engine: tensorflow
+annotator: Wav2Vec2ForCTC
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Wav2vec2  model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`asr_dat259_wav2vec2_by_Jethuestad_Chuvash_English` is a English model originally trained by Jethuestad.
+
+NOTE: This model only works on a CPU, if you need to use this model on a GPU device please use asr_dat259_wav2vec2_by_Jethuestad_Chuvash_English_gpu
+
+{:.btn-box}
+<button class="button button-orange" disabled>Live Demo</button>
+<button class="button button-orange" disabled>Open in Colab</button>
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/asr_dat259_wav2vec2_by_Jethuestad_Chuvash_English_en_4.4.0_3.0_1678744251357.zip){:.button.button-orange}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/asr_dat259_wav2vec2_by_Jethuestad_Chuvash_English_en_4.4.0_3.0_1678744251357.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+<div class="tabs-box" markdown="1">
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+audio_assembler = AudioAssembler() \
+    .setInputCol("audio_content") \
+    .setOutputCol("audio_assembler")
+
+speech_to_text = Wav2Vec2ForCTC \
+    .pretrained("asr_dat259_wav2vec2_by_Jethuestad_Chuvash_English", "en")\
+    .setInputCols("audio_assembler") \
+    .setOutputCol("text")
+
+pipeline = Pipeline(stages=[
+  audio_assembler,
+  speech_to_text,
+])
+
+pipelineModel = pipeline.fit(audioDf)
+
+pipelineDF = pipelineModel.transform(audioDf)
+```
+```scala
+
+val audioAssembler = new AudioAssembler()
+    .setInputCol("audio_content") 
+    .setOutputCol("audio_assembler")
+
+val speechToText = Wav2Vec2ForCTC
+    .pretrained("asr_dat259_wav2vec2_by_Jethuestad_Chuvash_English", "en")
+    .setInputCols("audio_assembler") 
+    .setOutputCol("text") 
+
+val pipeline = new Pipeline().setStages(Array(audioAssembler, speechToText))
+
+val pipelineModel = pipeline.fit(audioDf)
+
+val pipelineDF = pipelineModel.transform(audioDf)
+
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|asr_dat259_wav2vec2_by_Jethuestad_Chuvash_English|
+|Compatibility:|Spark NLP 4.4.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|349.4 MB|

docs/_posts/ahmedlone127/2023-03-13-asr_dat259_wav2vec2_by_Jethuestad_English_en.md

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+---
+layout: model
+title: English asr_dat259_wav2vec2_by_Jethuestad_English TFWav2Vec2ForCTC from Jethuestad
+author: John Snow Labs
+name: asr_dat259_wav2vec2_by_Jethuestad_English
+date: 2023-03-13
+tags: [wav2vec2, en, audio, open_source, asr, tensorflow]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 4.4.0
+spark_version: 3.0
+supported: true
+engine: tensorflow
+annotator: Wav2Vec2ForCTC
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Wav2vec2  model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`asr_dat259_wav2vec2_by_Jethuestad_English` is a English model originally trained by Jethuestad.
+
+NOTE: This model only works on a CPU, if you need to use this model on a GPU device please use asr_dat259_wav2vec2_by_Jethuestad_English_gpu
+
+{:.btn-box}
+<button class="button button-orange" disabled>Live Demo</button>
+<button class="button button-orange" disabled>Open in Colab</button>
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/asr_dat259_wav2vec2_by_Jethuestad_English_en_4.4.0_3.0_1678744533896.zip){:.button.button-orange}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/asr_dat259_wav2vec2_by_Jethuestad_English_en_4.4.0_3.0_1678744533896.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+<div class="tabs-box" markdown="1">
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+audio_assembler = AudioAssembler() \
+    .setInputCol("audio_content") \
+    .setOutputCol("audio_assembler")
+
+speech_to_text = Wav2Vec2ForCTC \
+    .pretrained("asr_dat259_wav2vec2_by_Jethuestad_English", "en")\
+    .setInputCols("audio_assembler") \
+    .setOutputCol("text")
+
+pipeline = Pipeline(stages=[
+  audio_assembler,
+  speech_to_text,
+])
+
+pipelineModel = pipeline.fit(audioDf)
+
+pipelineDF = pipelineModel.transform(audioDf)
+```
+```scala
+
+val audioAssembler = new AudioAssembler()
+    .setInputCol("audio_content") 
+    .setOutputCol("audio_assembler")
+
+val speechToText = Wav2Vec2ForCTC
+    .pretrained("asr_dat259_wav2vec2_by_Jethuestad_English", "en")
+    .setInputCols("audio_assembler") 
+    .setOutputCol("text") 
+
+val pipeline = new Pipeline().setStages(Array(audioAssembler, speechToText))
+
+val pipelineModel = pipeline.fit(audioDf)
+
+val pipelineDF = pipelineModel.transform(audioDf)
+
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|asr_dat259_wav2vec2_by_Jethuestad_English|
+|Compatibility:|Spark NLP 4.4.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|349.4 MB|