Update hyperparams.yaml
Browse files- hyperparams.yaml +5 -1
hyperparams.yaml
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@@ -172,6 +172,10 @@ pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer
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make_tokenizer_streaming_context: !name:speechbrain.tokenizers.SentencePiece.SentencePieceDecoderStreamingContext
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tokenizer_decode_streaming: !name:speechbrain.tokenizers.SentencePiece.spm_decode_preserve_leading_space
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fea_streaming_extractor: !new:speechbrain.lobes.features.StreamingFeatureWrapper
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module: !new:speechbrain.nnet.containers.LengthsCapableSequential
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- !ref <compute_features>
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@@ -180,5 +184,5 @@ fea_streaming_extractor: !new:speechbrain.lobes.features.StreamingFeatureWrapper
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# don't consider normalization as part of the input filter chain.
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# normalization will operate at chunk level, which mismatches training
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# somewhat, but does not appear to result in noticeable degradation.
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properties:
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- [!ref <compute_features>, !ref <CNN>]
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make_tokenizer_streaming_context: !name:speechbrain.tokenizers.SentencePiece.SentencePieceDecoderStreamingContext
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tokenizer_decode_streaming: !name:speechbrain.tokenizers.SentencePiece.spm_decode_preserve_leading_space
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make_decoder_streaming_context: !name:speechbrain.decoders.transducer.TransducerGreedySearcherStreamingContext # default constructor
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decoding_function: !name:speechbrain.decoders.transducer.TransducerBeamSearcher.transducer_greedy_decode_streaming
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- !ref <Greedysearcher> # self
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fea_streaming_extractor: !new:speechbrain.lobes.features.StreamingFeatureWrapper
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module: !new:speechbrain.nnet.containers.LengthsCapableSequential
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- !ref <compute_features>
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# don't consider normalization as part of the input filter chain.
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# normalization will operate at chunk level, which mismatches training
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# somewhat, but does not appear to result in noticeable degradation.
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properties: !apply:speechbrain.utils.filter_analysis.stack_filter_properties
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- [!ref <compute_features>, !ref <CNN>]
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