diff --git a/source/application/main/Mfcc.cc b/source/application/main/Mfcc.cc
new file mode 100644
index 0000000..bf16159
--- /dev/null
+++ b/source/application/main/Mfcc.cc
@@ -0,0 +1,354 @@
+/*
+ * Copyright (c) 2021 Arm Limited. All rights reserved.
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+#include "Mfcc.hpp"
+
+#include "PlatformMath.hpp"
+
+#include <cfloat>
+
+namespace arm {
+namespace app {
+namespace audio {
+
+    MfccParams::MfccParams(
+                    const float samplingFreq,
+                    const uint32_t numFbankBins,
+                    const float melLoFreq,
+                    const float melHiFreq,
+                    const uint32_t numMfccFeats,
+                    const uint32_t frameLen,
+                    const bool useHtkMethod):
+                        m_samplingFreq(samplingFreq),
+                        m_numFbankBins(numFbankBins),
+                        m_melLoFreq(melLoFreq),
+                        m_melHiFreq(melHiFreq),
+                        m_numMfccFeatures(numMfccFeats),
+                        m_frameLen(frameLen),
+
+                        /* Smallest power of 2 >= frame length. */
+                        m_frameLenPadded(pow(2, ceil((log(frameLen)/log(2))))),
+                        m_useHtkMethod(useHtkMethod)
+    {}
+
+    std::string MfccParams::Str()
+    {
+        char strC[1024];
+        snprintf(strC, sizeof(strC) - 1, "\n   \
+            \n\t Sampling frequency:         %f\
+            \n\t Number of filter banks:     %u\
+            \n\t Mel frequency limit (low):  %f\
+            \n\t Mel frequency limit (high): %f\
+            \n\t Number of MFCC features:    %u\
+            \n\t Frame length:               %u\
+            \n\t Padded frame length:        %u\
+            \n\t Using HTK for Mel scale:    %s\n",
+                this->m_samplingFreq, this->m_numFbankBins, this->m_melLoFreq,
+                this->m_melHiFreq, this->m_numMfccFeatures, this->m_frameLen,
+                this->m_frameLenPadded, this->m_useHtkMethod ? "yes" : "no");
+        return std::string{strC};
+    }
+
+    MFCC::MFCC(const MfccParams& params):
+        _m_params(params),
+        _m_filterBankInitialised(false)
+    {
+        this->_m_buffer = std::vector<float>(
+                            this->_m_params.m_frameLenPadded, 0.0);
+        this->_m_frame = std::vector<float>(
+                            this->_m_params.m_frameLenPadded, 0.0);
+        this->_m_melEnergies = std::vector<float>(
+                                this->_m_params.m_numFbankBins, 0.0);
+
+        this->_m_windowFunc = std::vector<float>(this->_m_params.m_frameLen);
+        const float multiplier = 2 * M_PI / this->_m_params.m_frameLen;
+
+        /* Create window function. */
+        for (size_t i = 0; i < this->_m_params.m_frameLen; i++) {
+            this->_m_windowFunc[i] = (0.5 - (0.5 *
+                math::MathUtils::CosineF32(static_cast<float>(i) * multiplier)));
+        }
+
+        math::MathUtils::FftInitF32(this->_m_params.m_frameLenPadded, this->_m_fftInstance);
+        debug("Instantiated MFCC object: %s\n", this->_m_params.Str().c_str());
+    }
+
+    void MFCC::Init()
+    {
+        this->_InitMelFilterBank();
+    }
+
+    float MFCC::MelScale(const float freq, const bool useHTKMethod)
+    {
+        if (useHTKMethod) {
+            return 1127.0f * logf (1.0f + freq / 700.0f);
+        } else {
+            /* Slaney formula for mel scale. */
+
+            float mel = freq / ms_freqStep;
+
+            if (freq >= ms_minLogHz) {
+                mel = ms_minLogMel + logf(freq / ms_minLogHz) / ms_logStep;
+            }
+            return mel;
+        }
+    }
+
+    float MFCC::InverseMelScale(const float melFreq, const bool useHTKMethod)
+    {
+        if (useHTKMethod) {
+            return 700.0f * (expf (melFreq / 1127.0f) - 1.0f);
+        } else {
+            /* Slaney formula for mel scale. */
+            float freq = ms_freqStep * melFreq;
+
+            if (melFreq >= ms_minLogMel) {
+                freq = ms_minLogHz * expf(ms_logStep * (melFreq - ms_minLogMel));
+            }
+            return freq;
+        }
+    }
+
+
+    bool MFCC::ApplyMelFilterBank(
+            std::vector<float>&                 fftVec,
+            std::vector<std::vector<float>>&    melFilterBank,
+            std::vector<int32_t>&               filterBankFilterFirst,
+            std::vector<int32_t>&               filterBankFilterLast,
+            std::vector<float>&                 melEnergies)
+    {
+        const size_t numBanks = melEnergies.size();
+
+        if (numBanks != filterBankFilterFirst.size() ||
+                numBanks != filterBankFilterLast.size()) {
+            printf_err("unexpected filter bank lengths\n");
+            return false;
+        }
+
+        for (size_t bin = 0; bin < numBanks; ++bin) {
+            auto filterBankIter = melFilterBank[bin].begin();
+            float melEnergy = FLT_MIN;  /* Avoid log of zero at later stages */
+            int32_t firstIndex = filterBankFilterFirst[bin];
+            int32_t lastIndex = filterBankFilterLast[bin];
+
+            for (int i = firstIndex; i <= lastIndex; i++) {
+                float energyRep = math::MathUtils::SqrtF32(fftVec[i]);
+                melEnergy += (*filterBankIter++ * energyRep);
+            }
+
+            melEnergies[bin] = melEnergy;
+        }
+
+        return true;
+    }
+
+    void MFCC::ConvertToLogarithmicScale(std::vector<float>& melEnergies)
+    {
+        for (size_t bin = 0; bin < melEnergies.size(); ++bin) {
+            melEnergies[bin] = logf(melEnergies[bin]);
+        }
+    }
+
+    void MFCC::_ConvertToPowerSpectrum()
+    {
+        const uint32_t halfDim = this->_m_params.m_frameLenPadded / 2;
+
+        /* Handle this special case. */
+        float firstEnergy = this->_m_buffer[0] * this->_m_buffer[0];
+        float lastEnergy = this->_m_buffer[1] * this->_m_buffer[1];
+
+        math::MathUtils::ComplexMagnitudeSquaredF32(
+                            this->_m_buffer.data(),
+                            this->_m_buffer.size(),
+                            this->_m_buffer.data(),
+                            this->_m_buffer.size()/2);
+
+        this->_m_buffer[0] = firstEnergy;
+        this->_m_buffer[halfDim] = lastEnergy;
+    }
+
+    std::vector<float> MFCC::CreateDCTMatrix(
+                                const int32_t inputLength,
+                                const int32_t coefficientCount)
+    {
+        std::vector<float> dctMatix(inputLength * coefficientCount);
+
+        const float normalizer = math::MathUtils::SqrtF32(2.0f/inputLength);
+        const float angleIncr = M_PI/inputLength;
+        float angle = 0;
+
+        for (int32_t k = 0, m = 0; k < coefficientCount; k++, m += inputLength) {
+            for (int32_t n = 0; n < inputLength; n++) {
+                dctMatix[m+n] = normalizer *
+                    math::MathUtils::CosineF32((n + 0.5) * angle);
+            }
+            angle += angleIncr;
+        }
+
+        return dctMatix;
+    }
+
+    float MFCC::GetMelFilterBankNormaliser(
+                    const float&    leftMel,
+                    const float&    rightMel,
+                    const bool      useHTKMethod)
+    {
+        UNUSED(leftMel);
+        UNUSED(rightMel);
+        UNUSED(useHTKMethod);
+
+        /* By default, no normalisation => return 1 */
+        return 1.f;
+    }
+
+    void MFCC::_InitMelFilterBank()
+    {
+        if (!this->_IsMelFilterBankInited()) {
+            this->_m_melFilterBank = this->_CreateMelFilterBank();
+            this->_m_dctMatrix = this->CreateDCTMatrix(
+                                    this->_m_params.m_numFbankBins,
+                                    this->_m_params.m_numMfccFeatures);
+            this->_m_filterBankInitialised = true;
+        }
+    }
+
+    bool MFCC::_IsMelFilterBankInited()
+    {
+        return this->_m_filterBankInitialised;
+    }
+
+    void MFCC::_MfccComputePreFeature(const std::vector<int16_t>& audioData)
+    {
+        this->_InitMelFilterBank();
+
+        /* TensorFlow way of normalizing .wav data to (-1, 1). */
+        constexpr float normaliser = 1.0/(1<<15);
+        for (size_t i = 0; i < this->_m_params.m_frameLen; i++) {
+            this->_m_frame[i] = static_cast<float>(audioData[i]) * normaliser;
+        }
+
+        /* Apply window function to input frame. */
+        for(size_t i = 0; i < this->_m_params.m_frameLen; i++) {
+            this->_m_frame[i] *= this->_m_windowFunc[i];
+        }
+
+        /* Set remaining frame values to 0. */
+        std::fill(this->_m_frame.begin() + this->_m_params.m_frameLen,this->_m_frame.end(), 0);
+
+        /* Compute FFT. */
+        math::MathUtils::FftF32(this->_m_frame, this->_m_buffer, this->_m_fftInstance);
+
+        /* Convert to power spectrum. */
+        this->_ConvertToPowerSpectrum();
+
+        /* Apply mel filterbanks. */
+        if (!this->ApplyMelFilterBank(this->_m_buffer,
+                                      this->_m_melFilterBank,
+                                      this->_m_filterBankFilterFirst,
+                                      this->_m_filterBankFilterLast,
+                                      this->_m_melEnergies)) {
+            printf_err("Failed to apply MEL filter banks\n");
+        }
+
+        /* Convert to logarithmic scale. */
+        this->ConvertToLogarithmicScale(this->_m_melEnergies);
+    }
+
+    std::vector<float> MFCC::MfccCompute(const std::vector<int16_t>& audioData)
+    {
+        this->_MfccComputePreFeature(audioData);
+
+        std::vector<float> mfccOut(this->_m_params.m_numMfccFeatures);
+
+        float * ptrMel = this->_m_melEnergies.data();
+        float * ptrDct = this->_m_dctMatrix.data();
+        float * ptrMfcc = mfccOut.data();
+
+        /* Take DCT. Uses matrix mul. */
+        for (size_t i = 0, j = 0; i < mfccOut.size();
+                    ++i, j += this->_m_params.m_numFbankBins) {
+            *ptrMfcc++ = math::MathUtils::DotProductF32(
+                                            ptrDct + j,
+                                            ptrMel,
+                                            this->_m_params.m_numFbankBins);
+        }
+        return mfccOut;
+    }
+
+    std::vector<std::vector<float>> MFCC::_CreateMelFilterBank()
+    {
+        size_t numFftBins = this->_m_params.m_frameLenPadded / 2;
+        float fftBinWidth = static_cast<float>(this->_m_params.m_samplingFreq) / this->_m_params.m_frameLenPadded;
+
+        float melLowFreq = MFCC::MelScale(this->_m_params.m_melLoFreq,
+                                          this->_m_params.m_useHtkMethod);
+        float melHighFreq = MFCC::MelScale(this->_m_params.m_melHiFreq,
+                                           this->_m_params.m_useHtkMethod);
+        float melFreqDelta = (melHighFreq - melLowFreq) / (this->_m_params.m_numFbankBins + 1);
+
+        std::vector<float> thisBin = std::vector<float>(numFftBins);
+        std::vector<std::vector<float>> melFilterBank(
+                                            this->_m_params.m_numFbankBins);
+        this->_m_filterBankFilterFirst =
+                        std::vector<int32_t>(this->_m_params.m_numFbankBins);
+        this->_m_filterBankFilterLast =
+                        std::vector<int32_t>(this->_m_params.m_numFbankBins);
+
+        for (size_t bin = 0; bin < this->_m_params.m_numFbankBins; bin++) {
+            float leftMel = melLowFreq + bin * melFreqDelta;
+            float centerMel = melLowFreq + (bin + 1) * melFreqDelta;
+            float rightMel = melLowFreq + (bin + 2) * melFreqDelta;
+
+            int32_t firstIndex = -1;
+            int32_t lastIndex = -1;
+            const float normaliser = this->GetMelFilterBankNormaliser(leftMel, rightMel, this->_m_params.m_useHtkMethod);
+
+            for (size_t i = 0; i < numFftBins; i++) {
+                float freq = (fftBinWidth * i);  /* Center freq of this fft bin. */
+                float mel = MFCC::MelScale(freq, this->_m_params.m_useHtkMethod);
+                thisBin[i] = 0.0;
+
+                if (mel > leftMel && mel < rightMel) {
+                    float weight;
+                    if (mel <= centerMel) {
+                        weight = (mel - leftMel) / (centerMel - leftMel);
+                    } else {
+                        weight = (rightMel - mel) / (rightMel - centerMel);
+                    }
+
+                    thisBin[i] = weight * normaliser;
+                    if (firstIndex == -1) {
+                        firstIndex = i;
+                    }
+                    lastIndex = i;
+                }
+            }
+
+            this->_m_filterBankFilterFirst[bin] = firstIndex;
+            this->_m_filterBankFilterLast[bin] = lastIndex;
+
+            /* Copy the part we care about. */
+            for (int32_t i = firstIndex; i <= lastIndex; i++) {
+                melFilterBank[bin].push_back(thisBin[i]);
+            }
+        }
+
+        return melFilterBank;
+    }
+
+} /* namespace audio */
+} /* namespace app */
+} /* namespace arm */