resamp

Functions

int main(int argc, char *argv[])

resamp [ option ] [ infile ]

• -a int

  • resampling library

    • 0 libsamplerate

    • 1 speex

    • 2 r8brain

• -q int

  • quality

• -l int

  • length of vector \((1 \le L)\)

• -m int

  • order of vector \((0 \le M)\)

• -s double

  • input sampling rate in kHz

• -S double

  • output sampling rate in kHz

• infile str

  • double-type data sequence

• stdout

  • double-type resampled data sequence

The example command converts 16 kHz data to 44.1 kHz data.

resamp -s 16 -S 44.1 < data.raw > data_us.raw

Parameters:

• argc – [in] Number of arguments.

• argv – [in] Argument vector.

Returns:

0 on success, 1 on failure.

See also

wav2raw raw2wav

class Resampler

Resample signals.

The input is the \(T \times L\) samples:

\[ \begin{array}{ccccccc} x_1(1), & \ldots, & x_1(L), & \ldots, & x_T(1), \ldots, x_T(L), \end{array} \]

where \(L\) is the number of channels and \(T\) is the number of frames. The output is the \(T' \times L\) samples:

\[ \begin{array}{ccccccc} y_1(1), & \ldots, & y_1(L), & \ldots, & y_{T'}(1), \ldots, y_{T'}(L), \end{array} \]

where \(T'\) is the number of output frames determined by the input/output sampling rates.

Public Types

enum Algorithms

Resampling algorithms.

Values:

enumerator kLibsamplerate

enumerator kSpeex

enumerator kR8brain

enumerator kNumAlgorithms

Public Functions

Resampler(double input_sampling_rate, double output_sampling_rate, int vector_length, int buffer_length, int quality, Algorithms algorithm)

Parameters:

• input_sampling_rate – [in] Input sampling rate in Hz.

• output_sampling_rate – [in] Output sampling rate in Hz.

• vector_length – [in] Length of vector (number of channels).

• buffer_length – [in] Length of buffer in frames.

• quality – [in] Quality of resampling (higher is better).

• algorithm – [in] Resampling algorithm.

inline void Clear()

Clear internal state.

inline int GetLatency()

Returns:

Latency introduced by resampling.

inline bool IsValid() const

Returns:

True if this object is valid.

inline virtual bool Get(const std::vector<double> &inputs, std::vector<double> *outputs)

Parameters:

• inputs – [in] Input samples (interleaved if multi-channel).

• outputs – [out] Output samples (interleaved if multi-channel).

Returns:

True on success, false on failure.

Public Static Functions

static int GetMinimumQuality(Algorithms algorithm)

Parameters:

algorithm – [in] Resampling algorithm.

Returns:

Minimum quality of resampling.

static int GetMaximumQuality(Algorithms algorithm)

Parameters:

algorithm – [in] Resampling algorithm.

Returns:

Maximum quality of resampling.

static double GetMinimumRatio()

Returns:

Minimum resampling ratio.

static double GetMaximumRatio()

Returns:

Maximum resampling ratio.