Issue #1538 - remove speech recognition engine

This removes speech recognition, pocketsphinx, training models
and the speech automated test interface.
This also re-establishes proper use of MOZ_WEBSPEECH to work
for the speech API (synthesis part only) that was a broken mess
before, with some synth parts being always built, some parts
being built only with it enabled and recognition parts being
dependent on it. I'm pretty sure it'd be totally busted if you'd
ever have tried building without MOZ_WEBPEECH before.

Tested that synthesis still works as-intended.

This resolves #1538

1 files changed, 0 insertions, 150 deletions

diff --git a/media/pocketsphinx/src/ms_gauden.h b/media/pocketsphinx/src/ms_gauden.h
deleted file mode 100644
index 9c26cef47..000000000
--- a/media/pocketsphinx/src/ms_gauden.h
+++ /dev/null
@@ -1,150 +0,0 @@
-/* -*- c-basic-offset: 4; indent-tabs-mode: nil -*- */
-/* ====================================================================
- * Copyright (c) 1999-2004 Carnegie Mellon University.  All rights
- * reserved.
- *
- * Redistribution and use in source and binary forms, with or without
- * modification, are permitted provided that the following conditions
- * are met:
- *
- * 1. Redistributions of source code must retain the above copyright
- *    notice, this list of conditions and the following disclaimer. 
- *
- * 2. Redistributions in binary form must reproduce the above copyright
- *    notice, this list of conditions and the following disclaimer in
- *    the documentation and/or other materials provided with the
- *    distribution.
- *
- * This work was supported in part by funding from the Defense Advanced 
- * Research Projects Agency and the National Science Foundation of the 
- * United States of America, and the CMU Sphinx Speech Consortium.
- *
- * THIS SOFTWARE IS PROVIDED BY CARNEGIE MELLON UNIVERSITY ``AS IS'' AND 
- * ANY EXPRESSED OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, 
- * THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
- * PURPOSE ARE DISCLAIMED.  IN NO EVENT SHALL CARNEGIE MELLON UNIVERSITY
- * NOR ITS EMPLOYEES BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
- * SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT 
- * LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, 
- * DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY 
- * THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT 
- * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE 
- * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
- *
- * ====================================================================
- *
- */
-
-#ifndef _LIBFBS_GAUDEN_H_
-#define _LIBFBS_GAUDEN_H_
-
-/** \file ms_gauden.h
- * \brief (Sphinx 3.0 specific) Gaussian density module.
- *
- * Gaussian density distribution implementation. There are two major
- * difference bettwen ms_gauden and cont_mgau. One is the fact that
- * ms_gauden only take cares of the Gaussian computation part where
- * cont_mgau actually take care of senone computation as well. The
- * other is the fact that ms_gauden is a multi-stream implementation
- * of GMM computation.
- *
- */
-
-/* SphinxBase headers. */
-#include <sphinxbase/feat.h>
-#include <sphinxbase/logmath.h>
-#include <sphinxbase/cmd_ln.h>
-
-/* Local headers. */
-#include "vector.h"
-#include "pocketsphinx_internal.h"
-#include "hmm.h"
-
-#ifdef __cplusplus
-extern "C" {
-#endif
-
-/**
- * \struct gauden_dist_t
- * \brief Structure to store distance (density) values for a given input observation wrt density values in some given codebook.
- */
-typedef struct {
-    int32 id;		/**< Index of codeword (gaussian density) */
-    mfcc_t dist;		/**< Density value for input observation wrt above codeword;
-                           NOTE: result in logs3 domain, but var_t used for speed */
-
-} gauden_dist_t;
-
-/**
- * \struct gauden_t
- * \brief Multivariate gaussian mixture density parameters
- */
-typedef struct {
-    mfcc_t ****mean;	/**< mean[codebook][feature][codeword] vector */
-    mfcc_t ****var;	/**< like mean; diagonal covariance vector only */
-    mfcc_t ***det;	/**< log(determinant) for each variance vector;
-			   actually, log(sqrt(2*pi*det)) */
-    logmath_t *lmath;   /**< log math computation */
-    int32 n_mgau;	/**< Number codebooks */
-    int32 n_feat;	/**< Number feature streams in each codebook */
-    int32 n_density;	/**< Number gaussian densities in each codebook-feature stream */
-    int32 *featlen;	/**< feature length for each feature */
-} gauden_t;
-
-
-/**
- * Read mixture gaussian codebooks from the given files.  Allocate memory space needed
- * for them.  Apply the specified variance floor value.
- * Return value: ptr to the model created; NULL if error.
- * (See Sphinx3 model file-format documentation.)
- */
-gauden_t *
-gauden_init (char const *meanfile,/**< Input: File containing means of mixture gaussians */
-	     char const *varfile,/**< Input: File containing variances of mixture gaussians */
-	     float32 varfloor,	/**< Input: Floor value to be applied to variances */
-             logmath_t *lmath
-    );
-
-/** Release memory allocated by gauden_init. */
-void gauden_free(gauden_t *g); /**< In: The gauden_t to free */
-
-/** Transform Gaussians according to an MLLR matrix (or, eventually, more). */
-int32 gauden_mllr_transform(gauden_t *s, ps_mllr_t *mllr, cmd_ln_t *config);
-
-/**
- * Compute gaussian density values for the given input observation vector wrt the
- * specified mixture gaussian codebook (which may consist of several feature streams).
- * Density values are left UNnormalized.
- * @return 0 if successful, -1 otherwise.
- */
-int32
-gauden_dist (gauden_t *g,	/**< In: handle to entire ensemble of codebooks */
-	     int mgau,		/**< In: codebook for which density values to be evaluated
-				   (g->{mean,var}[mgau]) */
-	     int n_top,		/**< In: Number top densities to be evaluated */
-	     mfcc_t **obs,	/**< In: Observation vector; obs[f] = for feature f */
-	     gauden_dist_t **out_dist
-	     /**< Out: n_top best codewords and density values,
-		in worsening order, for each feature stream.
-		out_dist[f][i] = i-th best density for feature f.
-		Caller must allocate memory for this output */
-    );
-
-/**
-   Dump the definitionn of Gaussian distribution. 
-*/
-void gauden_dump (const gauden_t *g  /**< In: Gaussian distribution g*/
-    );
-
-/**
-   Dump the definition of Gaussian distribution of a particular index to the standard output stream
-*/
-void gauden_dump_ind (const gauden_t *g,  /**< In: Gaussian distribution g*/
-		      int senidx          /**< In: The senone index of the Gaussian */
-    );
-
-#ifdef __cplusplus
-}
-#endif
-
-#endif /* GAUDEN_H */